石油和天然气勘探中英文对照外文翻译文献
Characterization of Radar Backscatter翻译
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本科毕业设计(论文)外文资料翻译外文资料题目Characterization of Radar BackscatterResponse of Sand-Covered Surfacesat Millimeter-Wave Frequencies摘要摘要由于干沙的介电常数低和沙表面比较粗糙,沙漠的雷达成像会遭受不足的雷达回波低频微波信号。
然而,操作在毫米波段频率,用以矫正这一缺陷的重要雷达回波产生的表面和体积散射。
由于这样的事实,即砂表面粗糙度大,信号穿透到干砂,这是一个空气和砂颗粒尺寸与波长的一小部分的均匀混合物,产生相当大的体积散射。
本文探讨在干砂表面的面积和体积的散射,以奇特的砂表面的物理性能,发现在沙地沙丘覆盖的地区。
提出了一种非相干模型,描述了角依赖体积散射从干砂在存在一维起涟漪的空气/砂表面。
一组室内实验进行平滑和一维起涟漪的砂表面在ka波段证实,大量散射是毫米波频率,该模型正确地捕捉观察角关系当一维表面波纹出现。
关键词:毫米波(MMW)测量雷达体积散射摘要摘要目录i目录一、引言 (1)二、干砂的物理性质的表征 (5)三、干沙丘表面的造型雷达后向散射响应 (9)四、实验表征 (17)五、结论 (23)附录 (25)参考文献 (29)ii目录一、引言1一、引言世界各地的石油和天然气领域的探索,包括地区的特点是干旱或沙漠地区地震试验中经常使用的。
在这些地区,干沙层往往覆盖底层的基岩,并且其厚度变化从一个区域到下一个区域。
在沙层厚度的基石是低的沙区的地震试验通常是成功的。
如果砂层高于基岩的厚度是先验已知的,那么这些测试的成本可以显著降低。
双频干涉合成孔径雷达(SAR)测量(InSAR)已被提议作为一种映射沙层以上的基岩大面积的沙漠和干旱地区的厚度[1][2]的手段。
双频干涉合成孔径雷达的提议包含两个系统:高频和低频InSAR系统,两者都安装在一个平台上。
高频InSAR 技术被用于确定空气/砂界面的高度,而低频InSAR技术被用于确定的砂/基岩界面的高度。
石油专业外文翻译(SPE 121762),英文原文可根据spe号在百度文库收索即可。
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SPE 121762完井中新微乳型原油破乳剂的实验室和现场研究摘要在石油工业中,水和油的乳化形成了一个持续的生产问题,受到了大量的技术的关注。
在有利于环保的基础上,我们利用一种新的微乳型破乳剂(ME-DeM)对水包油(o/w)乳液的破乳效果进行测试。
本产品测试了一系列的原油,已被证明相比于其他破乳剂更具有商业效用(DeM)。
结果表明在现场试验中,本产品能对破乳效果产生明显的改善,更多的实地研究正在筹备之中。
绪论乳液的形成与稳定油水乳液已经成为石油工业研究课题之一,因为它关系到先关的操作问题,而且需要考虑生产,回收,输送,运输和提炼程序中的费用。
一个非常好的名叫“一个国家的艺术审查” 并有关于原油乳液的总结是由Sunil Kokai提出的(Kokai 2002年)。
乳状液,可定义为结合两个或两个以上的混容液体彼此不会轻易的分离开来单独存在,它以胶体大小或更大的小液滴形式存在,可导致高抽水成本。
如果水分散在连续的油相中,被称为油包水型(w/o)乳状液;如果油分散在连续的水相中,则被称为水包油型(o/w)乳状液。
如果没有稳定的油水界面,就没有乳状液的热力学稳定。
液滴的聚集会导致不稳定的乳液(Holmberg, et al. 2007)。
然而油水界面处的部分聚集会使界面更加稳定从而阻碍油水各自之间的聚并(破乳)进程。
材料如自然形成或注射的表面活性剂,聚合物,无机固体以及蜡,可使界面更稳定。
乳化形成过程也受到流体混合,剪切,湍流,扩散,表面活性剂聚集(Miller 1988),空间位阻稳定(非离子表面活性剂),温度和压力的影响。
在被驱散的液滴周围,表面活性剂可以形成多层次的层状液晶的增长。
当流体滤液或注射液与储层液体混合,或当产出液的PH变化是,则会产生乳状液。
沥青质,树脂和蜡的组成和浓度(Lissant 1988, Auflem 2002, Sifferman 1976, Sifferman 1980)是影响乳状液形成和稳定的因素。
油气田开发名词英汉对照
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1、地质储量original oil in place在地层原始状态下,油(气)藏中油(气)的总储藏量。
地质储量按开采价值划分为表内储量和表外储量。
表内储量是指在现有技术经济条件下具有工业开采价值并能获得经济效益的地质储量。
表外储量是在现有技术经济条件下开采不能获得经济效益的地质储量,但当原油(气)价格提高、工艺技术改进后,某些表外储量可以转为表内储量。
2、探明储量proved reserve探明储量是在油(气)田评价钻探阶段完成或基本完成后计算的地质储量,在现代技术和经济条件下可提供开采并能获得经济效益的可靠储量。
探明储量是编制油田开发方案、进行油(气)田开发建设投资决策和油(气)田开发分析的依据。
3、动用储量draw up on reserves已钻采油井投入开采的地质储量。
4、水驱储量 water flooding reserves能受到天然边底水或人工注入水驱动效果的地质储量。
5、损失储量loss reserves在目前确定的注采系统条件下,只存在注水井或采油井暂未射孔的那部分地质储量。
6、单井控制储量controllable reserves per well采油井单井控制面积内的地质储量。
7、可采储量recoverable reserves在现有技术和经济条件下能从储油(气)层中采出的那一部分油(气)储量。
8、剩余可采储量remaining recoverable reserves油(气)田投入开发后,可采储量与累积采油(气)量之差。
9、经济可采储量economically recoverable reserves是指在一定技术经济条件下,出现经营亏损前的累积产油量。
经济可采储量可以定义为油田的累计现金流达到最大、年现金流为零时的油田全部累积产油量;在数值上,应等于目前的累积产油量和剩余经济可采储量之和。
10、油藏驱动类型flooding type是指油藏开采时,驱使油(气)流向井底的主要动力来源和方式。
(完整版)油气储运专业英语(英汉互译)
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(完整版)油气储运专业英语(英汉互译)Chapter 1 Oil and Gas Fields第1章油气田1.1 An Introduction to Oil and Gas Production1.1石油和天然气生产的介绍The complex nature of wellstreams is responsible for the complex processing of the produced fluids (gas, oil,water, and solids). The hydrocarbon portion must be separated into products that can be stored and/or transported. The nonhydrocarbon contaminants must be removed as much as feasible to meet storage, transport, reinjection, and disposal specifications. Ultimate disposal of the various waste streams depends on factors such as the location of the field and the applicable environmental regulations. The overriding criterion for product selection, construction, and operation decisions is economics.油气井井流的复杂性质,决定了所产流体(气、油、水和固体)的加工十分复杂。
必须分出井流中的烃类,使之成为能储存和/或能输送的各种产品;必须尽可能地脱除井流中的非烃杂质,以满足储存、输送、回注和排放的规范。
石油专业中英文2
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Condensate gas Gas expansion Volumetric method Pore volume(PV) Initial conditions Later conditions
13、净厚度 14、测井 15、岩心分析 16、井底压力 17、试井 18、尖灭
Net thickness Well logs Core analysis Bottomhole pressure Well tests pinchouts
49、三级脱气系统 50、高压分离器 51、储罐 52、气体偏差系数 53、凝析 54、原始露点压力
Three-stage separation system High-pressure separator Stock tank Gas deviation factor condensation Original dewpoint pressure
Water-vapour Water vaporization Gas condensation Rock expansion Condensate saturation Two-phase gas deviation factor
85、单相Z因子 86、两相Z因子 87、汽相 88、水蒸气含量
Single-phase Z factor Two-phase Z factor Vapor phase Water vapor content
55、油气田开发方案 56、占优势的 57、油藏驱动机理 58、物质平衡方程 59、侵入水 60、水驱系统
Field-development strategy predominant Reservoir drive mechanism Material-balance equation Encroaching water Waterdrive system
能源类毕业论文外文及中文翻译
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土耳其的能源需求M. Mucuk andD。
Uysal经济学,经济和行政学院,塞尔丘克大学法律系,42075,科尼亚,土耳其摘要:本研究的目的是预测在土耳其使用Box-Jenkins方法论2007 —2015年期间的一次能源需求.由能源和自然资源部规定的期限1970至2006年的年度数据进行的研究中使用。
考虑到单位根检验的结果,能源需求的系列是一阶差分平稳。
位居其后的替代模型可以发现,最合适的模型是能源需求的系列ARIMA(3,1,3)。
根据这个模型,估计结果表明,能源需求也将继续增加的趋势,在预测期内。
据预计,在一次能源需求将在2015年达到119。
472 T OE与相比,应设计用于在土耳其的需求不断增加2006.因此能源政策增加约22%。
介绍经济政策的最终目标是维持社会福利水平的增加。
有必要通过有效地利用资源,以实现在社会福利的增加,以增加产量.出于这个原因,可以看出,已内化到新的增长模式的技术因素是一个快速发展。
在技术的发展也有助于在对能源的需求的增加。
事实上,在与工业革命发生在18世纪末和19世纪初,生产过程中采用新技术,以及无论在国家的基础,并在全球范围内增加能源消耗带来的。
然而,随着工业化在一起因素,例如人口和城市化也起到了作用,显著作为能源消费的增加解释变量.能量需求,这取决于上面提到的因素,表现出动态结构的未来值,是非常重要的在于要今天实施的政策方面,由于所使用在我们的日常生活中的大部分能量资源具有一个不平衡各地区和储量分布中一直在稳步下降。
上面提到的局限性迫使国家在考虑到可持续增长做出预测已经塑造他们的能源政策。
本研究的目的是预测在土耳其通过Box-Jenkins方法的基础上规定的期限1970年至2006年的年度数据对能源的需求期间二零零七年至2015年。
土耳其是不被认为是丰富的化石燃料,诸如石油,天然气和煤炭的国家之列。
出于这个原因,正确的能量需求预测携带在设计在国内实施的策略一个显著值。
热电联产中英文对照外文翻译文献
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中英文对照外文翻译文献(文档含英文原文和中文翻译)外文文献:The Optimal Operation Criteria for a Gas Turbine Cogeneration System Abstract: The study demonstrated the optimal operation criteria of a gas turbine cogeneration system based on the analytical solution of a linear programming model. The optimal operation criteria gave the combination of equipment to supply electricity and steam with the minimum energy cost using the energy prices and the performance of equipment. By the comparison with a detailed optimization result of an existing cogeneration plant, it was shown that the optimal operation criteria successfully provided a direction for the system operation under the condition where the electric power output of the gas turbine was less than the capacity.Keywords: Gas turbine; Cogeneration; Optimization; Inlet air cooling.1. IntroductionCogeneration, or combined heat and power production, is suitable for industrial users who require large electricity as well as heat, to reduce energy and environmental impact. To maximize cogeneration, the system has to be operated with consideration electricity and heat demands andthe performance of equipment. The optimal operation of cogeneration systems is intricate in many cases, however, due to the following reasons. Firstly, a cogeneration system is a complex of multiple devices which are connected each other by multiple energy paths such as electricity, steam, hot water and chilled water. Secondly, the performance characteristics of equipment will be changed by external factors such as weather conditions.For example, the output and the efficiency of gas turbines depend on the inlet air temperature. Lastly,the optimal solution of operation of cogeneration systems will vary with the ratio of heat demand to electricity demand and prices of gas, oil and electricity.Because of these complexities of cogeneration systems, a number of researchers have optimal solutions of cogeneration systems using mathematical programming or other optimization techniques. Optimization work focusing on gas turbine cogeneration systems are as follows. Yokoyama et al. [1] presented optimal sizing and operational planning of a gas turbine cogeneration system using a combination of non-linear programming and mixed-integer linear programming methods. They showed the minimum annual total cost based on the optimization strategies. A similar technique was used by Beihong andWeiding [2] for optimizing the size of cogeneration plant. A numerical example of a gas turbine cogeneration system in a hospital was given and the minimization of annual total cost was illustrated. Kong et al. [3] analyzed a combined cooling, heating and power plant that consisted of a gas turbine, an absorption chiller and a heat recovery boiler. The energy cost of the system was minimized by a linear programming model and it was revealed that the optimal operational strategies depended on the load conditions as well as on the cost ratio of electricity to gas. Manolas et al. [4] applied a genetic algorithm (GA) for the optimization of an industrial cogeneration system, and examined the parameter setting of the GA on the optimization results. They concluded that the GA was successful and robust in finding the optimal operation of a cogeneration system.As well as the system optimization, the performance improvement of equipment brings energy cost reduction benefits. It is known that the electric power output and the efficiency of gas turbines decrease at high ambient temperatures. Some technical reports [5, 6] show that the electric power output of a gas turbine linearly decreases with the rise of the ambient temperature, and it varies about 5 % to 10 % with a temperature change of 10 ◦C. Therefore, cooling of the turbine inlet air enhances electric output and efficiency. Some studies have examined theperformance of the gas turbine with inlet air cooling as well as the effect of various cooling methods [7, 8, 9].The cooling can be provided without additional fuel consumption by evaporative coolers or by waste heat driven absorption chillers. The optimal operation of the system will be more complex, however, especially in the case of waste heat driven absorption chillers because the usage of the waste heat from the gas turbine has to be optimized by taking into consideration the performance of not only the gas turbine and the absorption chiller but also steam turbines, boilers and so on. The heat and electricity demands as well as the prices of electricity and fuels also influence the optimal operation.The purpose of our study is to provide criteria for optimal operation of gas turbine cogeneration systems including turbine inlet air cooling. The criteria give the minimum energy cost of the cogeneration system. The method is based on linear programming and theKuhn-Tucker conditions to examine the optimal solution, which can be applied to a wide range of cogeneration systems.2. The Criteria for the Optimal Operation of Gas Turbine Cogeneration SystemsThe criteria for the optimal operation of gas turbine cogeneration systems were examined from the Kuhn-Tucker conditions of a linear programming model [10]. A simplified gas turbine cogeneration system was modeled and the region where the optimal solution existed was illustrated on a plane of the Lagrange multipliers.2.1. The Gas Turbine Cogeneration System ModelThe gas turbine cogeneration system was expressed as a mathematical programming model. The system consisted of a gas turbine including an inlet air cooler and a heat recovery steam generator (HRSG), a steam turbine, an absorption chiller, a boiler and the electricity grid. Figure 1 shows the energy flow of the system. Electricity, process steam, and cooling for process or for air-conditioning are typical demands in industry, and they can be provided by multiple suppliers. In the analysis, cooling demands other than for inlet air cooling were not taken into account, and therefore, the absorption chiller would work only to provide inlet air cooling of the gas turbine. The electricity was treated as the electric power in kilowatts, and the steam and the chilled water were treated as the heat flow rates in kilowatts so that the energy balance can be expressed in the same units.Figure 1. The energy flow of the simplified gas turbine cogeneration system with the turbineinlet air cooling.The supplied electric power and heat flow rate of the steam should be greater than or equal to the demands, which can be expressed by Eqs. (1-2).(1)(2)where, xe and xs represent the electric power demand and the heat flow rate of the steam demand. The electric power supply from the grid, the gas turbine and the steam turbine are denoted by xG, xGT and xST, respectively. xB denotes the heat flow rate of steam from the boiler, and xAC denotes the heat flow rate of chilled water from the absorption chiller. The ratio of the heat flow rate of steam from the HRSG to the electric power from the gas turbine is denominated the steam to electricity ratio, and denoted by ρGT. Then, ρGTxGT represents the heat flow rate o f steam from the gas turbine cogeneration. The steam consumption ratios of the steam turbine and the absorption chiller are given as ωST and ωAC, respectively. The former is equivalent to the inverse of the efficiency based on the steam input, and the latter is equivalent to the inverse of the coefficient of performance.The inlet air cooling of the gas turbine enhances the maximum output from the gas turbine. By introducing the capacity of the gas turbine, XGT, the effect of the inlet air cooling was expressed by Eq. (3).(3).It was assumed that the increment of the gas turbine capacity was proportional to the heatflow rate of chilled water supplied to the gas turbine. The proportional constant is denoted byαGT.In addition to the enhancement of the gas turbine capacity, the inlet air cooling improves the electric efficiency of the gas turbine. Provided that the improvement is proportional to the heat flow rate of chilled water to the gas turbine, the fuel consumption of the gas turbine can be expressed as ωGTxGT¡βGTxAC, whereωGT is the fuel consumption ratio without the inlet air cooling and βGT is the improvement factor of the fuel consumption by the inlet air cooling. As the objective of the optimization is the minimization of the energy cost during a certain time period, Δt, the energy cost should be expressed as a function of xG, xGT, xST, xB and xAC. By defining the unit energy prices of the electricity, gas and oil as Pe, Pg and Po, respectively, the energy cost, C, can be given as:(4)where, ωB is the fuel consumpti on ratio of the boiler, which is equivalent to the inverse of the thermal efficiency.All the parameters that represent the characteristics of equipment, such as ωGT, ωST, ωAC, ωB, ρGT, αGT and βGT, were assumed to be constant so that the system could be m odeled by the linear programming. Therefore, the part load characteristics of equipment were linearly approximated.2.2. The Mathematical Formulation and the Optimal Solution From Eqs. (1–4), the optimization problem is formed as follows:(5)(6)(7)(8)where, x = (xG, xGT, xST, xB, xAC). Using the Lagrange multipliers, λ = (λ1, λ2, λ3), theobjectivefunction can be expressed by the Lagrangian, L(x,λ).(9)According to the Kuhn-Tucker conditions, x and λ satisfy the following conditions at the optimal solution.(10)(11)(12)(13)The following inequalities are derived from Eq. (10).(14)(15)(16)(17)(18)Equation (11) means that xi > 0 if the derived expression concerning the supplier i satisfies the equali ty, otherwise, xi = 0. For example, xG has a positive value if λ1 equals PeΔt. If λ1 is less than PeΔt, then xG equals zero.With regard to the constraint g3(x), it is possible to classify the gas turbine operation into two conditions.The first one is the case where the electric power from the gas turbine is less than the capacity,which means xG < XGT + αGTxAC. The second one is the case where the electric power from the gas turbine is at the maximum, which means xGT = XGT + αGTxAC. We denominate the former and the latter conditions the operational conditions I and II, respectively. Due to Eq. (12) of the Kuhn-Tucker condition, λ3 = 0 on the operational condition I, and λ3 > 0 on the operational condition II.2.3. The Optimal Solution where the Electric Power from the Gas Turbine is less than theCapacityOn the operational condition I where xG < XGT + αGTxAC, Eqs. (14–18) can be drawn on the λ1-λ2 plane because λ3 equals zero. The region surrounded by the inequalities gives the feasible solutions, and the output of the supplier i has a positive value, i.e. xi > 0, when the solution exists on the line which represents the supplier i.Figure 2 illustrates eight cases of the feasible solution region appeared on the λ1-λ2 plane. The possible optimal solutions ar e marked as the operation modes “a” to “g”. The mode a appears in the case A, where the grid electricity and the boiler are chosen at the optimal operation. In the mode b,the boiler and the steam turbine satisfy the electric power demand and the heat flow rate of the steam demand. After the case C, the electric power from the gas turbine is positive at the optimal operation.In the case C, the optimal operation is the gas turbine only (mode c), the combination of the gas turbine and the boiler (mode d) or the combination of the gas turbine and the grid electricity (mode e). In this case, the optimal operation will be chosen by the ratio of the heat flow rate of the steam demand to the electric power demand, which will be discussed later. When the line which represents the boiler does not cross the gas turbine line in the first quadrant, which is the case C’, only the modes c and e appear as the possible optimal solutions. The modes f and g appear in the cases D and E, respectively. The suppliersThe cases A through E will occur depending on the performance parameters of the suppliers and the unit energy prices. The conditions of each case can be obtained from the graphical analysis. For example, the case A occurs if λ1 at the intersection of G and B is smaller than that at the intersection of GT and B, and is smaller than that at the intersection of ST and B. In addition, the line B has to be located above the line AC so that the feasible solution region exists. Then, the following conditions can be derived.(19)(20)(21)Equation (19) means that the gas cost to produce a certain quantity of electricity and steam with the gas turbine is higher than the total of the electricity and oil costs to purchase the same quantity of electricity from the grid and to produce the same quantity of steam with the boiler.Equation (20) means that the electricity cost to purchase a certain quantity of electricity is cheaper than the oil cost to produce the same quantity of electricity using the boiler and the steam turbine. Equation (21) indicates that the reduction of the gas cost by a certain quantity of the inlet air cooling should be smaller than the oil cost to provide the same quantity of cooling using the boiler and the absorption chiller. Otherwise, the optimal solution does not exist because the reduction of the gas cost is unlimited by the inlet air cooling using the absorption chiller driven by the boiler.Figure 2. The possible cases of the optimal solution on the operational condition ISimilar ly, the following conditions can be derived for the other cases. The condition given as Eq. (21) has to be applied to all the cases below.Case B:(22)(23)Equation (22) compares the production cost of the electricity and the steam between the gas and the oil. The gas cost to produce a certain quantity of electricity and steam by the gas turbine is higher than the oil cost to produce the same quantity of electricity and steam by thecombination of the boiler and the steam turbine. Equation (23) is the opposite of Eq. (20), which means that the oil cost to produce a certain quantity of electricity by the boiler and the steam turbine is cheaper than the purchase price of electricity.Case C:(24)(25)(26)(27)Equation (24) is the opposite case of Eq. (19). Equation (25) compares the boiler and the gas turbine regarding the steam production, which is related to the mode d. In the case C, the oil cos t for the boiler is cheaper than the gas cost for the gas turbine to produce a certain quantity of steam. If the gas cost is cheaper, mode d is not a candidate for the optimal sol ution, as illustrated in the case C’. Equations (26) and (27) evaluate the effectiveness of the steam turbine and the inlet air cooling by the absorption chiller,resp ectively. The grid electricity is superior to the steam turbine and to the inlet air cooling in this case.Case D:In addition to Eq. (25),(28)(29)(30)Similarly to the case C’, the case D’ occurs if the inequality sign of Eq. (25) is reversed. Equation (28) is the opposite case of Eq. (22), which is the comparison of the electricity production between gas and oil. Equation (29) is the opposite case of Eq. (26), which is the comparison of the steam turbine and grid electricity. The gas cost to produce a certain quantity of electricity by the combination of the gas turbine and the steam turbine is cheaper than the purchase cost of the same quantity of electricity from the grid. Equation (30) gives the condition where the steam turbine is more advantageous than the inlet air cooling by the absorption chiller. The left hand side of Eq. (30) represents an additional steam required for a certain quantity of electricity production by the inlet air cooling. Therefore, Eq. (30) insists that the steam required for a certain quantity of electricity production by the steam turbine is smaller than that requiredfor the same quantity of electricity production by the inlet air cooling in this case, and it is independent of energy prices.Case E:In addition to Eq.(25),(31)(32)The case E’ occurs if Eq. (25) is reversed. Equations (31) and (32) are the opposite cases of Eqs. (27)and (30), which give the conditions where the inlet air cooling is more advantageous compared with the alternative technologies. In this case, Eq. (28) is always satisfied because of Eqs. (21) and (32).The conditions discussed above can be arranged using the relative electricity price, Pe/Pg and the relative oil price, Po/Pg. The optimal cases to be chosen are graphically shown in Figure 3 on the Po/Pg-Pe/Pg plane. When Eq. (30) is valid, Figure 3 (a) should be applied. The inlet air cooling is not an optimal option in any case. When Eq. (32) is valid, the cases E and E’ appear on the plane and the steam turbine is never chosen, as depicted in Figure 3 (b). It is noteworthy that if the inlet air cooling cannot improve the gas turbine efficiency, i.e. βGT = 0, the inlet air cooling is never the optimal solution.As the cases C, D and E include three operation modes, another criterion for the selection of the optimal operation mode is necessary in those cases. The additional criterion is related with the steam to electricity ratio, and can be derived from the consideration below.In the c ases C, D and E, λ1 and λ2 have positive values. Therefore, two of the constraints given as Eqs. (6) and (7) take the equality conditions due to the Kuhn-Tucker condition Eq. (12). Then, the two equations can be solved simultaneously for two variables which have positive values at each mode.For the mode d, the simultaneous equations can be solved under xGT, xB > 0 and xG, xST, xAC = 0.Then, one can obtain xGT = xe and xB = xs ¡ ρGTxe. Because xB has a positive value, the following condition has to be satisfied for the mode d to be selected.(33)At the mode e, one can obtain xG = xe ¡ xs/ρGT and xGT = xs/ρGT, and the following condition can be drawn out of the former expression because xG is greater than zero at this mode.(34)Similar considerations can be applied to the cases D and E. Consequently, Eq. (33) is the condition for the mode d to be selected, while Eq. (34) is the condition for the modes e, f or g to be selected. Furthermore, it is obvious that the mode c has to be chosen if the steam to electricity ratio of the gas turbine is equal to the ratio of the heat flow rate of the steam demand to the electric power demand, i.e. ρGT = xs/xe.Equations (33) and (34) mean that when the steam to electricity ratio of the gas turbine is smaller than the ratio of the heat flow rate of the steam demand to the electric power demand, the gas turbine should be operated to meet the electric power demand. Then, the boiler should balance the heat flow rate of the steam supply with the demand. On the other hand, if the steam to electricity ratio of the gas turbine is larger than the ratio of the heat flow rate of the steam demand to the electric power demand,the gas turbine has to be operated to meet the heat flow rate of the steam demand. Then, the insufficient electric power supply from the gas turbine has to be compensated by either the grid (mode e), the steam turbine (mode f), or the inlet air cooling (mode g). There is no need of any auxiliary equipment to supply additional electric power or steam if the steam to electricity ratio of the gas turbine matches the demands.Figure 3. The optimal operation cases expressed on the relative oil price-relative electricity price plane (the operational condition I).2.4. The Optimal Solution where the Electric Power from the Gas Turbine is at the MaximumIn the operational condition II, the third constraint, Eq. (8), takes the equality condition and λ3 would have a positive value. Then, Eqs. (11) and (18) yields:(35)It is reasonable to assume that ρGT ¡ !AC ®GT > 0 and ωGT ¡ ¯GT ®GT > 0 in the case ofgas turbine cogeneration systems because of relatively low electric efficiency (¼ 25 %) and a high heat to electricity ratio (ρGT > 1.4). Then, the optimal solution cases c an be defined by a similar consideration to the operational condition I, and the newly appeared cases are illustrated in Figure 4. The cases F and G can occur in the operational condition II in addition to the cases A and B of the operational condition I. Similarly to the cases C’ and D’ of the operational condition I, the cases F’ and G’ can be defined where the mode h is excluded from the cases F and G, respectively.Figure 4. The optimal solution cases on the operational condition II.In the operational condition II, the conditions of the cases A and B are slightly different from those in the operational condition I, as given below.Case A:(36)(37)Case B:(38)(39)The conditions for the cases F and G are obtained as follows.Case F:(40)(41)(42)Case G:In addition to Eq. (41),(43)(44)The case s F’ and G’ occur whenthe inequality sign of Eq. (41) is reversed. Equations (36), (38),(40), (41), (42), (43) and (44) correspond to Eqs. (19), (22), (24), (25), (26), (28) and (29), respectively.In these equations, ωGT ¡ ¯GT®GTis substituted for ωGT, an d ρGT ¡ !AC®GTis substituted for ρGT.The optimal cases of the operational condition II are illustrated on the Po/Pg-Pe/Pg plane as shown in Figure 5. Unlike the operational condition I, there is no lower limit of the relative oil price for the optimal solution to exist. The line separating the cases F and G is determined by the multiple parameters.Basically, a larger ρGT or a smaller ωST lowers the line, which causes a higher possibility for the case G to be selected.Figure 5. The optimal operation cases expressed on the relative oil price-relative electricity price plane (the operational condition II).To find the optimal mode out of three operation modes included in the cases F or G, another strategy is necessary. The additional conditions can be found by a similar examination on the variables to that done for the cases C, D and E. In the operational condition II, three variables can be analytically solved by the constraints given as Eqs. (6), (7) and (8) taking equality conditions.In the mode g, only two variables, ωGT andωAC are positive and the other variables are equal to zero.Therefore, the analytical solutions of those in the operational condition II can be obtained from equations derived from Eqs. (6) and (7) as xGT = xe and xAC = (ρGTxe ¡xs)/ωA C. Then the third constraint gives the equality condition concerning xs/xe and XGT/xe as follows:(45)where, XGT/xe represents the ratio of the gas turbine capacity to the electricity demand, and XGT/xe ·1.For mode h, the condition where this mode should be selected is derived from the analytical solution of xB with xB > 0 as follows:(46)For the mode i, xG > 0 and xAC > 0 give the following two conditions.(47)(48)For the mode j, xST > 0 and xAC > 0 give the following conditions.(49)(50)The conditions given as Eqs. (45–50) are graphically shown in Figure 6. In the cases F and G,the operational condition II cannot be applied to the region of xsxe< ρGTXGT xeand xsxe<(ωST+ρGT)XGTxe¡ωST,respectively, because xAC becomes negative in this region. The optimal operation should be found under the operational condition I in this region.3. Comparison of the Optimal Operation Criteria with a Detailed Optimization ResultTo examine the applicability of the method explained in the previous section to a practical cogeneration system, the combination of the suppliers selected by the optimal operation criteria was compared with the results of a detailed optimization of an existing plant.3.1. An Example of an Existing Energy Center of a FactoryAn energy center of an existing factory is depicted in Figure 7. The factory is located in Aichi Prefecture, Japan, and produces car-related parts. The energy center produces electricity by a combined cycle of a gas turbine and a steam turbine. The gas turbine can be fueled with either gas or kerosene, and it is equipped with an inlet air cooler. The electric power distribution system of the factory is also linked to the electricity grid so that the electricity can be purchased in case the electric power supply from the energy center is insufficient.The steam is produced from the gas turbine and boilers. The high, medium or low pressure steam is consumed in the manufacturing process as well as for the driving force of the steam turbine and absorption chillers. The absorption chillers supply chilled water for the process, air conditioning and the inlet air cooling. One of the absorption chiller can utilize hot water recovered from the low temperature waste gas of the gas turbine to enhance the heat recovery efficiency of the system.Figure 6. The selection of the optimal operation mode in the cases of F and G.3.2. The Performance Characteristics of the EquipmentThe part load characteristics of the equipment were linearly approximated so that the system could be modeled by the linear programming. The approximation lines were derived from the characteristics of the existing machines used in the energy center.The electricity and the steam generation characteristics of the gas turbine and the HRSG are shown in Figure 8, for example. The electric capacity of the gas turbine increases with lower inlet air temperatures. The quantity of generated steam is also augmented with lower inlet air temperatures.In practice, it is known that the inlet air cooling is beneficial when the purchase of the grid electricity will exceed the power contract without the augmentation of the gas turbine capacity. Furthermore, the inlet air cooling is effective when the outdoor air temperature is higher than 11 ◦C. A part of the operation of the actual gas turbine system is based on the above judgement of the operator, which is also included in the detailed optimization model.3.3. The Detailed Optimization of the Energy CenterThe optimization of the system shown in Figure 7 was performed by a software tool developed for this system. The optimization method used in the tool is the linear programming method combined with the listed start-stop patterns of equipment and with the judgement whether the inlet air cooling is on oroff. The methodology used in the tool is fully described in the reference [11].Figure 7. An energy center of a factory.Figure 8. The performance characteristics of the gas turbine and the HRSG.The Detailed Optimization MethodThe energy flow in the energy center was modeled by the linear programming. The outputs of equipment were the variables to be optimized, whose values could be varied within the lower and upper limits. To make the optimization model realistic, it is necessary to take the start-stop patterns of the equipment into account. The start-stop patterns were generated according to thepossible operation conditions of the actual energy center, and 20 patterns were chosen for the enumeration. The optimal solution was searched by the combination of the enumeration of the start-stop patterns and the linear programming method. The list of the start-stop patterns of the gas turbine and the steam turbine is given in Figure 9.The demands given in the detailed optimization are shown in Figure 10 as the ratios of the heat flow rate of the steam demand to the electric power demand on a summer day with a large electric power demand and on a winter day with a small steam demand. On the summer day, the ratio of the heat flow rate of the steam demand to the electric power demand is at a low level throughout a day. While, it is high on the winter day, and during the hours 2 to 6, the ratio exceeds 1.4 that is the steam to electricity ratio of the gas turbine.Figure 9. The start-stop patterns of the gas turbine and the steam turbine.The Plant Operation Obtained by the Detailed OptimizationThe accumulated graphs shown in Figures 11 through 14 illustrate the electric power supply and the heat flow rate of the steam supply from equipment on the summer and winter days. On the summer day, the gas turbine and the steam turbine worked at the maximum load and the electric power demand was met by the purchase from the grid for most of the day except the hours 2 to 6, at which the electric power demand was small. The inlet air cooling of the gas turbine was used only at the hours 10 and 14, at which the peak of the electric power demand existed. The steam was mainly supplied by the gas turbine, and the boiler was used only if the total heat flow rate of the steam demands by the process, the steam turbine, and the absorption。
主要石油系统中英对照表概要
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I.开阀关系(汉语)(英语)漏失循环lost circulation液化天然气liquefied natural gas能energy遥控remote control遥测remote sensing油砂oil sands油页岩oil shale海底管线submarine pipeline开发,开采development , exploitation 海洋钻井设备offshore drilling unit工业储量proved reserves可采储量recoverable reserves天然气回注gas injection气田gas field油气比gas oil ratio气举gas lift岩屑,钻屑cuttings岩丘salt dome射孔gun perforation基岩basement rocks凝灰岩tuff记录剖面record section白云岩dolomite钻井drilling钻井泥浆drilling mud采油树X ’ mas tree轻质原油light crude定向钻井directional drilling 套管casing页岩shale地质储量original oil in place 测井logging衰退率decline rate原油crude oil岩心core孔隙率porosity固定平面fixed platform舌进coning生油岩source rock采收率recovery factor砂岩sandstone供应船supply boat三次开采tertiary recovery酸处理acid treatment完井completion时间剖面time section资源resources地震勘探seismic prospecting自喷井flowing well自升式钻井装置jack-up type drilling rig重质原油heavy crude重力勘探gravitational prospecting工业的生产commercial production起始日产量initial daily production渗透率permeability深度剖面depth section注水water flooding , water injection 直井眼straight hole探明储备probable reserves伴生气associated gas抽汲swabbing灰岩limestone分离器separator半沉没的钻井semisubmersible basin固井cementing水泥cement泵站pump station沉积盆地sedimentary basin陆棚continental shelf烃,碳氢化合物hydrocarbon勘探exploration碳酸岩carbonate rocks断层fault地球化学勘探geochemical prospecting 地下构造图subsurface structural map 地槽geosyncline地质图geolgic map油管tubing阻流器choke储层reservoir低硫原油low sulphur crude泥浆mudstone泥浆路井mud logging绞车drawworks二次开采secondary recovery背斜构造anticlinal structure重晶石baritePVT试验PVT analysis生产层障害formation damage不整和unconformity地球物理勘探geophysical prospecting 压裂fracturing井喷blowout防喷器blowout preventer钻杆drill pipe兑深度total depth储量reserves井架derrick有效厚度net pay thickness生产层评价formation evaluation油田oil field预测储备possible reserves钻机rig累计产量cummulativeII.精制关系(汉语)(英语)沥青,柏油asphalt闪点flash point机油engine oil辛烷值octane number汽油gasoline粗柴油gas oil减压蒸馏vacuum distillation热解pyrolysis航空汽油aviation gasoline渣油residual oil动力汽油motor gasoline润滑油lubricating oil拔顶车间,常压蒸馏装置topping unit , atmospheric-distillation unit催化剂catalyst初沸点initial boiling point加氢精制hydrotreating氢化裂解hydrocracking稳定塔stabilizer汽提塔stripper炼油厂oil refinery分馏fractionation催化重整catalytic reforming催化裂解catalytic cracking脱蜡dewaxing油槽船tanker油槽汽车tank lorry抽提塔extractor柴油机燃料diesel fuel延迟焦化delayed coking电脱盐electric desalting柴油kerosene石脑油,粗汽油naphtha铂重整platforming反应塔reactor酮苯脱蜡B-K dewaxing裂化气cracked gas裂化汽油cracked gasoline馏出油distillate流化床催化裂变fluid catalytic cracking 倾点,流点,流动点pour point馏分fraction蜡wax渣油催化裂变RECC(Residual FCC)III.石油化学关系(汉语)(英语)丙烯酰胺acrylamide丙烯酯acrylic ester丙烯腈纤维acrylic fiber丙烯腈acrylonitrile己二酸adipic acid乙炔acetylene乙醛acetaldehyde丙酮acetone苯胺aniline烷基苯alkylbenzene氨ammonia异丁烷isobutane异丁烯isobutylene异戊二烯isoprene异丙醇isopropyl alcohol单轴延伸monoaxial stretching 乙丙橡胶EPR膨胀造型inflation modeling 丁苯橡胶SBR乙醇ethanol乙烷ethane乙苯,苯乙烷ethylbenzene乙烯ethylzene环氧乙烷ethylzene oxide乙二醇ethylzene glycol丁腈橡胶NBR环氧树脂epoxy resin甲撑双MDI氯乙烯vinyl chloride氯化chlorination辛醇octanol辛烷octane挤压模型extrusion modeling 邻二甲苯ortho-xylene烯族olefinic化学药品chemicals气gas已内酰胺caprolactam二甲苯xylene枯烯,异丙基苯cumene共聚copolymerization 甘油,丙三醇glycerine氯丁橡胶chloroprene rubber合成橡胶synthetic rubber合成树脂synthetic resin合成纤维synthetic fiber醋酸,乙酸acetic acid醋酸乙酯ethyl acetate醋酸乙烯酯vinyl acetate氧化oxidation氧oxygen环乙烷cyclohexane脂族aliphatic对酞酸二甲酯dimethyl terephthalate 注模injection modeling聚合polymerization硅橡胶silicone rubber聚硅酮树脂silicone resin氢hydrogen氢化hydrogenation水合hydration苯乙烯styrene磺化sulfonation单体monomer氮nitrogen甲苯二异氰酸脂TDI(Tolvene Diisocyanate) 癸烷decane对酞酸terephthalic acid甲苯toluene尼龙nylon环烷族naphthenic二氯乙烯EDC双轴延伸biaxial stretching尿素urea热塑塑料thermoplastics热固树脂thermosettings壬烷nonane正链烷属烃normal paraffin对二甲苯para-xylene卤化halogenation顺丁橡胶BR双酚A bisphenol A乙烯龙vinylon苯酚phenol酚醛树脂phenolic resin吹模blow modeling丁二烯butadiene丁醇butanol丁烷butane丁基橡胶butyl rubber丁烯butylene不饱和聚醋树脂unsaturated polyester resin 塑料plastics丙烷propane丙烯propylene环氧化丙烯propylene oxide丙二醇propylene glycol已二胺hexamethylene diamine已烷hexane庚烷heptane苯benzene季戊四醇pentaerythritol戊烷pentane芳族aromatic芳烃抽提aromatic extraction异戊橡胶polyisoprene聚酯纤维polyester fiber聚乙烯polyethyrene聚氯乙烯polyvinyl chloride聚苯乙烯polystyrene聚乙烯醇polyvinyl alcohol聚丙烯polypropylene高聚物polymer甲醛水formalin酞酐phthalic anhydride马来酐maleic anhydride间二甲苯meta-xylene甲醇methanol甲烷methane甲基乙基甲酮methyl ethyl ketone甲基丙烯酸甲酯methyl methacrylate三聚氰胺melamine氯乙烯单体vinyl chloride monomer。
石油与天然气地质专业英语分类词汇表
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目录总类。
41.油气地质勘探总论。
72. 含油气盆地构造学。
73. 含油气盆地沉积学。
114. 油气性质。
145. 油气成因。
156. 油气储集层。
217.油气运移。
228.油气聚集。
259.油气地质勘探。
2710.油气地球化学勘探。
2911.地震地层学。
2912.遥感地质。
3213.实验室分析。
3314.油气资源评价。
3415.地质年代。
16补充17岩性,岩石学总类油气地质勘探petroleum and gas geology and exploration石油地球物理petroleum geophysics地球物理测井geophysical well logging石油工程petroleum engineering钻井工程drilling engineering油气田开发与开采oil-gas field development and exploitation石油炼制petroleum processing石油化工petrochemical processing海洋石油技术offshore oil technique油气集输与储运工程oil and gas gathering-transportation and storageengineering石油钻采机械与设备petroleum drilling and production equipment油田化学oilfield chemistry油气藏hydrocarbon reservoir油藏oil reservoir气藏gas reservoir商业油气藏(又称工业油气藏)commercial hydrocarbon reservoir油气田oil-gas field油田oil field气田gas field大油气田large oil-gas field特大油气田(又称巨型油气田)giant oil-gas field岩石物性physical properties of rock岩石物理学petrophysics野外方法field method野外装备field equipment石油petroleum天然石油natural oil人造石油artificial oil原油crude oil原油性质oil property石蜡基原油paraffin-base crude [oil]环烷基原油(又称沥青基原油)naphthene- base crude [oil]中间基原油(又称混合基原油)intermediate- base crude [oil]芳香基原油aromatic- base crude [oil]含硫原油sulfur-bearing crude,sour crude拔头原油topped crude重质原油heavy crude [oil]含蜡原油waxy crude [oil]合成原油synthetic crude凝析油condensate,condensed oil原油分析crude oil analysis,crude assay原油评价crude oil evaluation石油颜色oil colour石油密度oil densityAPI度API degree波美度Baumé degree沥青bitumen, asphalt沥青质asphaltene胶质gum熔点melting point倾点pour point凝点freezing point闪点flash point燃点fire point浊点cloud point液化天然气liquified natural gas,LNG天然气natural gas湿气wet gas干气dry gas酸气sour gas净气(又称甜气)sweet gas伴生气associated gas天然气绝对湿度absolute humidity of natural gas 天然气相对湿度relative humidity of natural gas 天然气密度natural gas density天然气溶解度natural gas solubility天然气发热量calorific capacity of natural gas天然气(燃烧)热值heating value of natural gas 凝析气condensate gas烃hydrocarbon轻烃light hydrocarbon烷烃paraffin hydrocarbon, alkane烯烃olefin,alkene环烷烃naphthenic hydrocarbon芳香烃aromatic hydrocarbon,arene含氧化合物oxygen compound含氮化合物nitrogen compound含硫化合物sulfur compound天然气液natural gas liquid,NGL液化石油气liquified petroleum gas,LPG临界点critical point临界状态critical state临界体积critical volume临界温度critical temperature临界压力critical pressure临界凝析温度cri condentherm临界凝析压力cricondenbar露点dew point露点曲线dew point curve烃露点hydrocarbon dew point平衡露点equilibrium dew point泡点bubble point泡点曲线bubble point curve油气系统相图phase diagram of oil-gas system 逆蒸发retrograde evaporation反凝析retrograde condensation饱和蒸气压saturated vapor pressure湍流turbulent flow层流laminar flow牛顿流体Newtonian fluid非牛顿流体non-Newtonian fluid塑性流体plastic fluid假塑性流体pseudoplastic fluid幂率流体power law fluid剪切率shear rate屈服值yield value动力粘度dynamic viscoisity绝对粘度absolute viscosity相对粘度relative viscosity视密度observent density双电层(又称偶电层)electrostatic double layer水合作用(又称水化作用)hydration生物降解(作用)biodegradation1.油气地质勘探总论石油天然气地质学geology of oil and gas石油地质学petroleum geology天然气地质学geology of natural gas石油地球化学petroleum geochemistry储层地质学reservoir geology油气田地质学geology of oil and gas field油气田水文地质学hydrogeology of oil and gas field 应用地球物理学applied geophysics油气田勘探exploration of oil and gas地质勘探geological exploration地球物理勘探geophysical exploration地球化学勘探geochemical exploration海上油气勘探offshore petroleum exploration地热勘探geothermal exploration数学地质(学)mathematical geology遥感地质remote-sensing geology实验室分析laboratory analysis油气资源预测assessment of petroleum resources 2. 含油气盆地构造学构造地质学structural geology大地构造学geotectonics板块构造学plate tectonics地球动力学geodynamics地质力学geomechanics构造structure构造作用tectonism地壳运动crustal movement水平运动horizontal movement垂直运动vertical movemen造山运动orogeny造陆运动epeirogeny构造模式structural model构造样式(又称构造风格)structural style 构造类型tectonic type构造格架tectonic framework应力型式stress pattern压(缩)应力compressive stress张应力tensile stress剪应力shear stress挤压作用compression拉张作用extension压扭作用(又称压剪)transpression张扭作用(又称张剪)transtension左旋sinistral rotation,left lateral右旋dextral rotation,right lateral地幔隆起mantal bulge地幔柱mantal plume结晶基地crytalline basement沉积盖层sedimentary cover构造旋回tectonic cycle构造单元tectonic unit地槽geosyncline地台(曾用名陆台)platform克拉通craton准地槽parageosyncline准地台paraplatform地盾shield地块massif地向斜geosyncline地背斜geoanticline台向斜platform syneclise台背斜platform anticlise隆起uplift坳陷(二级构造单元)depression凸起swell,convex凹陷(三级构造单元)sag,concave长垣placanticline褶皱fold斜坡slope阶地terrace构造鼻strctural nose背斜anticline向斜syncline穹窿dome滚动背斜rollover anticline牵引皱褶drag fold披覆褶皱(又称披盖褶皱)drape fold底辟构造(又称刺穿构造)diapiric structure盐丘salt dome刺穿盐丘salt diapir盐构造作用halokinesis断层fault断层生长指数fault growth index同生断层contemporaneous fault,synsedimentary fault,growth fault 正断层normal fault逆断层reverse fault冲断层thrust上冲断层(逆掩断层)overthrust下冲断层underthrust上冲席overthrust sheet走滑断层strike-slip fault转换断层transform fault倾向滑动断层dip-slip fault地堑graben地垒horst半地堑(又称箕状凹陷)half-graben推覆体nappe整合conformity不整合unconformity假整合disconformity块断作用block faulting重力滑动作用gravitational sliding地裂运动taphrogeny板块运动plate movementA型俯冲A-subductionB型俯冲B-subduction俯冲subduction仰冲obduction板块边界plate boundary离散边界divergent boundary会聚边界convergent boundary转换边界trnsform boundary大陆边缘continental margin活动大陆边缘active continental margin被动大陆边缘passive continental margin大陆漂移continental drift板块碰撞plate collision大陆增生continental accretion岛弧island arc海沟trench沟弧盆系trench-arc-basin system弧前盆地fore-arc basin弧后盆地back-arc basin,retroarc basin弧间盆地interarc basin边缘海盆地marginal sea basin坳拉槽盆地aulacogen斜坡盆地slope basin大陆边缘断陷盆地continent-marginal faulted basin 大陆边缘三角洲盆地continental-marginal delta basin 裂谷盆地rift basin内克拉通盆地intracratonic basin周缘前陆盆地peripheral foreland basin弧后前陆盆地retroarc foreland basin破裂前陆盆地broken foreland basin山前坳陷盆地piedmont depression basin复合型盆地composite basin山间盆地intermontaine basin残留大洋盆地remnant ocean basin原始大洋裂谷盆地protoceanic rift basin新生大洋盆地nascent ocean basin深海平原盆地dep-sea plain basin扭张盆地transtensional basin扭压盆地transpressional basin拉分盆地pull-apart basin洋壳型盆地ocean-crust type basin过渡壳型盆地transition-crust type basin陆壳型盆地continental-crust basin多旋回盆地polycyclic basin块断盆地block fault basin地堑盆地graben basin含油气大区petroliferous province含油气盆地petroliferous basin含油气区petroliferous region油气聚集带petroleum accumulation zone盆地分析basin analysis盆地数值模拟basin numerical simulation3. 含油气盆地沉积学沉积学sedimentology沉积物sediment沉积岩sedimentary rock沉积作用sedimentation,deposition沉积分异作用sedimentary differentiation沉积旋回sedimentary cycle,depositional-cycle同生作用syngenesis成岩作用diagenesis成岩阶段diagenetic stage后生作用(又称晚期成岩作用)epigenesist,catagenesis 变生作用(曾用名深变作用)metagenesis碎屑岩clastic rock,detrital rock砂岩sandstone粉砂岩siltstone砾岩conglomerate角砾岩breccia火山碎屑岩pyroclastic rock,volcanoclastic rock碳酸盐岩carbonate rock石灰岩limestone白云岩dolomite,dolostone泥灰岩marl粘土岩claystone泥质岩argillite泥岩mudstone页岩shale蒸发岩evaporite盐岩salt rock可燃有机岩caustobiolith沉积中心depocenter沉降中心subsiding center岩相古地理lithofacies palaeogeography沉积环境sedimentary enviroment沉积体系sedimentary system,depositional system沉积相sedimentary facies岩相lithofacies生物相biofacies地球化学相geochemical facies相标志facies marker相模式facies model相分析facies analysis山麓洪积相piedmont pluvial facies碎屑流沉积debris flow deposit泥石流沉积mud-debris flow deposit冲积扇相alluvial fan facies河流相fluvial facies辩状河沉积braided stream deposit曲流河沉积meandering stream deposit网状河沉积anastomosed stream deposit河床滞留沉积channel-lag deposit凸岸坝沉积(又称“点砂坝沉积”、“边滩沉积”)poit bar deposit 心滩沉积mid-channel bar deposit天然堤沉积natural levee deposit决口扇沉积crevasse-splay deposit废弃河道沉积abandoned channel deposit牛轭湖沉积oxbow lake deposit河漫滩沉积(又称洪泛平原沉积)flood-plain deposit侧向加积lateral accretion垂向加积vertical accretion湖泊相lacustrine facies盐湖相salt-lake facies冰川相glacial facies沙漠相desert facies风成沉积eolian deposit海相marine facies深海相abyssal facies半深海相bathyal facies浅海相neritic facies浅海陆架相neritic shelf facies滨海相littoral facies陆相nonmarine facies,continental facies海岸沙丘coastal dune内陆沙丘interior dune沙漠沙丘desert dune正常浪基面(又称正常浪底)normal wave base 风暴浪基面(又称风暴浪底)storm wave base 过渡相transition facies三角洲相delta facies扇三角洲相fan-delta facies三角洲平原delta plain,deltaic plain三角洲前缘delta front,deltaic front前三角洲prodelta建设性三角洲constructive delta破坏性三角洲destructive delta河口沙坝river mouth bar远沙坝distal bar指状沙坝finger bar三角洲前缘席状砂delta front sheet sand分流间湾沉积interdistributary bay deposit河口湾沉积estuary deposit澙湖相(又称泻湖相)lagoon facies蒸发岩相evaporite facies潮滩(又称潮坪)tidal flat潮汐通道tidal channel潮汐三角洲todal delta潮上带supratidal zone潮间带intertidal zone潮下带subtidal zone塞卜哈环境Sabkha enviroment浅滩(又称沙洲)shoal海滩beach湖滩beach岸堤bank障壁岛barrier island浊流turbidity current浊积岩turbidite浊积岩相turbidite facies湖底扇sublacustrine fan海底扇submarine fan鲍马序列Bouma sequence碳酸盐台地carbonate platform局限海restricted sea广海(又称开阔海)open sea陆表海epicontinental sea,epeiric sea陆缘海pericontinental sea边缘海margin sea盆地相basin facies深海平原abyssal plain广海陆架相open sea shelf facies台地前缘斜坡相platform foreslope facies生物丘相biohermal facies生物礁相organic reef facies台地边缘浅滩相shoal facies of platform margin 4. 油气性质石油荧光性oil fluorescence石油旋光性oil rotary polarization石油灰分oilash钒-镍比vanadium to nickel ratio,V/Ni游离气free gas溶解气dissolved gas沼气marsh gas泥火山气mud volcano gas惰性气inert gas固体沥青solid bitumen基尔沥青kir高氮沥青algarite地沥青maltha石沥青asphalt硬沥青gilsonite脆沥青grahamite焦性沥青impsonite次石墨graphitoid,schungite地沥青化作用asphaltization碳青质(又称卡宾)carbene高碳青质carboid总烃total hydrocarbon岩屑气cutting gas吸附烃adsorbed hydrocarbon溶解烃dissolved hydrocarbon游离沥青free bitumen束缚沥青fixed bitumen抽提沥青extractable bitumen氯仿沥青chloform bitumen酒精-苯沥青alcohol-benzene bitumen甲醇-丙酮-苯抽提物(简称MAB抽提物)methanol-acetone-benzene extract 分散沥青dispersed bitumen荧光沥青fluorescent bitumen5. 油气成因无机成因论inorganic origin theory碳化物论carbide theory宇宙论universal theory岩浆论magmatic theory(石油)高温成因论pyrogenetic theory蛇纹石化生油论serpontinization theory有机成因论organic origin theory动物论animal theory植物论plant theory动植物混合论animal-plant theory干酪根降解论kerogen degragation theory分散有机质dispersed organic matter前身物precursor腐泥质sapropelic substance腐泥化作用saprofication腐殖质humic substance腐殖酸humic acid腐殖化作用humification干酪根(曾用名油母质、油母)kerogen腐泥型干酪根(又称Ⅰ型干酪根)sapropel-type kerogen, Ⅰ-type kerogen 混合型干酪根(又称Ⅱ型干酪根)mixed-type kerogen, Ⅱ-type kerogen 腐殖型干酪根(又称Ⅲ型干酪根)humic-type kerogen, Ⅲ-type kerogen 显微组分(曾用名煤素质)maceral壳质组(又称稳定组)exinite,liptinite孢子体sporinite角质体cutinite藻类体alginite树脂体resinite镜质体vitrinite结构镜质体telinite无结构镜质体collinite惰质体inertinite微粒体micrinite菌类体sclerotinite丝质体fusinite半丝质体semifusinite无定形amorphous草质herbaceous木质woody煤质coaly还原环境reducing environment铁还原系数reduced coefficient oh ferrite还原硫reduced sulfur自生矿物authigenic mineral黄铁矿pyrite菱铁矿siderite赤铁矿hematite有机质演化organic matter evolution有机质成岩作用organic matter diagenesis有机质后生作用(曾用名有机质退化作用)organic matter catagenesis 有机质变生作用organic matter metagenesis有机质变质作用organic matter metamorphism生物化学降解作用biochemical degragation碳化作用carbonization生物化学生气阶段biochemical gas-genous stage热催化生油气阶段thermo-catalytic oil-gas-geneous stage热裂解生凝析气阶段thermo-cracking condensate-geneous stage深部高温生气阶段deep pyrometric gas-geneous stage未成熟期immature phase成熟期mature phase过熟期postmature phase生油门限threshold of oil generation液态窗(又称主要生油期)liquid window死亡线death line海相生油marine origin陆相生油nonmarine origin二次生油secondary generation of oil烃源岩(曾用名生油气岩)source bed油源岩(曾用名生油层)oil source bed气源层(曾用名生气层)gas source bed油源层系(曾用名生油层系)oil source bed有效烃源层effective source bed潜在烃源层potential source bed油页岩oil shale生油指标source rock index有机质丰度organic matter abundance有机碳organic carbon耗氧量oxygen consumption成熟作用maturation有机质成熟度organic matter maturity有机变质程度level of organic metamorphism,LOM时间-温度指数time-temperature index,TTI镜质组反射率(符号Ro) vitrinite reflectance定碳比carbon ratio孢粉颜色指数sporopollen color index热变指数thermal alteration index,TAI牙形石色变指数conodont alteration index,CAI碳优势指数carbon preference index,CPI奇偶优势odd-even predominance,OEP正环烃成熟指数normal paraffin maturity index,NPMI环烷烃指数naphthene index,NI芳香烃结构分布指数aromatic structural index,ASI自由基浓度number of free radical电子自旋共振信号electron spin resonance signal,ESR signal 顺磁磁化率paramagnetic susceptibility自旋密度spin density转化率transformation ratio,hydrocarbon-generating ratio沥青系数bitumen coefficient生油率oil-generating ratio生气率gas-generating ratio生油量oil-generating quantity生油潜量potential oil-generating quantity氢碳原子比hydrogen to carbon atomic ratio,H/C氧碳原子比oxygen to carbon ratio,O/C源岩评价仪Rock-Eval氢指数hydrogen index,HI氧指数oxygen index,OI油源对比oil and resource rock correlation气源对比gas and resource rock correlation地球化学化石geochemical fossil指纹化合物fingerprint compound生物标志[化合]物biomarker,biological marker生物构型biological configuration地质构型geological configuration立体异沟化stereoisomerism立体异构体stereoisomer,stereomer甾类steroid甾烷sterane降甾烷norsterane胆甾烷cholestane谷甾烷sitstane豆甾烷stigmastane粪甾烷coprostane麦角甾烷ergostane正常甾烷(规则甾烷)regular sterane重排甾烷rearranged sterane孕甾烷pregnane萜类(又称萜族化合物)terpenoid萜烷terpane三环萜烷tricyclic terpane四环萜烷tetracyclic terpane五环三萜烷pentacyclic triterpane藿烷hopane降藿烷norhopane羽扇烷lupane莫烷moretane降莫烷normoretaneλ蜡烷gammacerane奥利烷oleanane乌散烷ulsane松香烷abietane杜松烷cadinane雪松烷cedarane补身烷drimane海松烷pimarane罗汉松烷podocarpane角鲨烷squalane甾烷—藿烷比steraneto hopane ratio 倍半萜sesquiterpene二萜diterpene三萜triterpene多萜polyterpene胡萝卜烷carotane类胡萝卜素carotenoid类异戊二烯isoprenoid类异戊二烯烃isoprenoid hydrocarbon 殖烷phytane姥鲛烷pristane姥值比pristane to phytane ratio,Pr/Ph 降姥鲛烷norpristane法呢烷farnesane卟啉porphyrin天然气成因类型genetic types of natural gas无机成因气inorganic genetic gas, abiogenetic gas 火山气valcanic gas深源气deep source gas幔源气mantle source gas岩浆岩气magmatic rock gas变质岩气metamorphic rock gas宇宙气universal gas无机盐类分解气decomposition gas of inorganic salt 有机成因气organic genetic gas腐泥型天然气sapropel-type natural gas腐殖型天然气humic-type natural gas腐殖煤型天然气humolith-type natural gas生物气biogenic gas,bacterial gas油型气petroliferous gas煤型气coaliferous gas煤成气coal-genetic gas煤系气coal-measure gas煤层气coal seam gas腐泥型裂解气sapropel-type cracking gas腐殖型裂解气humic-type cracking gas非常规气unconventional gas地热气geothermal gas饱气带aeration zone异丁烷—正丁烷比isobutane to normal butane ratio 正庚烷normal heptane甲基环己烷methylcyclohexane二甲基环戊烷dimethyl cyclopentane庚烷值heptane value甲烷系数methane coefficient干燥系数drying coefficient碳同位素carbon isotope氢同位素hydrogen isotope氧同位素oxygen isotope氦同位素比率helium isotope ratio氩同位素比率argon isotope ratio6. 油气储集层储集岩reservoir rock储集层reservoir bed含油层oil-bearing horizon含油层系oil-bearing sequence碎屑岩类储集层clastic reservoir碳酸盐岩类储集层carbonate reservoir 结晶岩类储集层crystalline reservoir 泥质岩类储集层argillaceous reservoir 孔隙型储集层porous-type reservoir 裂隙型储集层fractured reservoir储层连续性reservoir continuity储层非均质性reservoir heterogeneity 胶结作用cementation胶结类型cementation type基底胶结basal cement孔隙胶结porous cement接触胶结contact cement杂乱胶结chaotic cement溶解作用dissolution压溶作用pressolution交代作用replacement,metasomatism 白云石化作用dolomitization去白云石化作用dedolomitization储集空间reservoir space原生孔隙primary pore次生孔隙secondary pore粒间孔隙inter granular pore粒内孔隙intragranular pore生物骨架孔隙bio skeleton pore生物钻孔孔隙bio boring pore鸟眼孔隙bird’s-eye pore晶间孔隙intercrystalline pore溶孔dissolved pore粒内溶孔intragranular dissolved pore 粒间溶孔intergranular dissolved pore印模孔隙(曾用名溶模孔隙)moldic pore溶洞dissolved carvern溶缝dissolved fracture裂缝fracture,fissure构造裂缝structural fracture成岩裂缝diagenetic fracture压溶裂缝pressolutional fracture缝合线stylolite储层性质reservoir property超毛细管空隙super-capillary interstice毛细管空隙capillary interstice微毛细管空隙micro-capillary interstice孔隙度porosity总孔隙度(又称绝对孔隙度)total porosity有效孔隙度effective porosity裂缝密度fracture density裂缝系数fracture coefficient裂缝强度指数fracture intensity index,FII渗透率permeability达西定律Darcy law孔隙pore喉道throat盖层caprock夹层intercalated bed隔层barrier bed,impervious bed压汞资料intrusive mercury data排替压力displacement pressure突破压力breakthrough pressure突破时间breakthrough time生储盖组合source-reservoir-caprock assemblage,SRCA旋回式生储盖组合cyclic SRCA侧变式生储盖组合lateral changed SRCA同生式生储盖组合(又称自生自储式生储盖组合)syngenetic SRCA 7.油气运移初始运移initial migration层内运移internal migration排驱作用expulsion初次运移primary migration二次运移secondary migration侧向运移lateral migration垂向运移vertical migration区域运移regional migration局部运移local migration同期运移synchronous migration后期运移postchronous migration运移方向migration direction运移通道migration pathway运移距离migration distance运移时期migration period输导层carrier bed水相water phase烃相hydrocarbon phase固相solid phase油珠oil droplet连续油相oil-continuous phase气泡gas bubble气相gas phase排烃临界值(又称油气临界释放因子)expulsion threshold value of hydrocarbon,critical release factor of oil and gas排烃效率expulsion efficient of hydrocarbon有效排烃厚度effective thickness of expulsion hydrocarbon压实[作用]compaction初期压实阶段initial compaction stage稳定压实阶段steady compaction stage突变压实阶段saltatory compaction stage紧密压实阶段close compaction stage欠压实页岩undercompaction shale水热增压作用aquathermal pressuring渗析作用(曾用名渗透作用)osmosis粘土脱水作用clay dehydration结晶水crystalline water层间水interlayer water吸附水adsorbed water结构水textural water甲烷增生作用methane accreting, methane generating 地层压力formation pressure上覆岩层压力overburden pressure岩石压力rock pressure孔隙流体压力(又称孔隙压力)pore fluid pressure地静压力geostatic pressure静水压力hydrostatic pressure动水压力(又称水动力)hydrodynamic pressure折算压力reduced pressure总水头(又称水势)total head承压水头pressure head,confined head高程水头elevation head压力系数pressure coefficient供水区recharge area承压区confined area泄水区discharge area含水层aquifer不透水层aquifuge自流水artesian water承压水confined water土壤水soil water潜水phreatic water测压面piezometric surface测势面potentiometric surface静液面static liquid level动液面dynamic liquid level潜水面phreatic water table水力梯度hydraulic gradient势分析potential analysis气势分忻gas potential analysis油势分析oil potential analysis水势分析(又称总水斗分析)water potential analysis 等势面isopotential surface等压面iaopressure surface构造作用力tectonic force浮力buoyancy扩散diffusion异常高压(又称高压)abnormal pressure,overpressure异常低压subnormal pressure,subpressure地压geopressure地热geotherm,terrestrial heat地热田geothermal field, terrestrial heat field岩石热导率thermal conductivity of rock大地热流值terrestrial heat flow value地热梯度(又称地温梯度)geothermal gradient地热增温级geothermal degree8.油气聚集圈闭trap有效圈闭effective trap隐蔽圈闭subtle trap成岩圈闭diagenetic trap水动力圈闭hydrodynamic trap压力封闭pressure seal重力分异gravitational differentiation差异聚集differential accumulation背斜理论anticline theory集油面积collecting area储油构造(又称含油构造)oil-bearing structure储气构造gas-bearing structure原生油气藏primary hydrocarbon reservoir次生油气藏secondary hydrocarbon reservoir构造油气藏structural hydrocarbon reservoir背斜油气藏anticlinal hydrocarbon reservoir挤压背斜油气藏squeezed anticline hydrocarbon reservoir长垣背斜油气藏placanticline anticline hydrocarbon reservoir底辟背斜油气藏diapir anticline hydrocarbon reservoir滚动背斜油气藏rollover anticline hydrocarbon reservoir披盖背斜油气藏drape anticline hydrocarbon reservoir向斜油气藏synclinal hydrocarbon reservoir断层遮挡油气藏fault-screened hydrocarbon reservoir断块油气藏fault block hydrocarbon reservoir裂缝油气藏fractured hydrocarbon reservoir盐丘遮挡油气藏salt diapir hydrocarbon reservoir泥火山遮挡油气藏mud volcano screened hydrocarbon reservoir岩浆柱遮挡油气藏magmatic plug hydrocarbon reservoir地层油气藏stratigraphic hydrocarbon reservoir地层超覆油气藏stratigraphic onlap hydrocarbon reservoir地层不整合油气藏stratigraphic unconformity hydrocarbon reservoir潜山油气藏buried hill hydrocarbon reservoir基岩油气藏basement hydrocarbon reservoir生物礁块油气藏reef hydrocarbon reservoir,bioherm hydrocarbon reservoir 岩性油气藏lithologic hydrocarbon reservoir岩性尖灭油气藏lithologic pinchout hydrocarbon reservoir岩性透镜体油气藏lithologic lenticular hydrocarbon reservoir古河道油气藏palaeochannel hydrocarbon reservoir古海岸沙洲油气藏palaeooffshore bar hydrocarbon reservoir带状油气藏banded hydrocarbon reservoir层状油气藏stratified stratified hydrocarbon reservoir块状油气藏massive hydrocarbon reservoir不规则状油气藏irregular hydrocarbon reservoir喀斯持油气藏karst hydrocarbon reservoir沥青塞封闭油藏asphalt-sealed oil reservoir饱和油气藏saturated hydrocarbon reservoir凝析气藏condensate gas reservoir背料油气藏参数parameter of anticlinal reservoir圈闭容积trap volume闭合面积closure area闭合度closure溢山点spill point油气藏高度height of hydrocarbon pool, height of hydrocarbon reservoir油柱高度oil column height气柱高度gas column height气顶gas cap边水edge water底水bottom water有效厚度net-pay thickness含油面积oil-bearing area含气面积gas-bearing area纯油带面积area of inner-boundary of oil zone油水过渡带面积area of transitional zone from oil to water含油边界oil boundary含气边界gas boundary含水边界water boundary油水界面water-oil boundary油气界面oil-gas boundary油藏描述reservoir description油藏评价reservoir evaluation,pool evaluation9.油气地质勘探区域勘探regional exploration工业勘探industrial exploration预探priliminary prospecting详探detailed prospecting地质测量geological survey构造地质测量structural geological survey地质剖面geological section构造剖面structural section区域综合大剖面regional comprehensive section,regional composite cross section 区域地层对比regional stratigraphic correlation岩性对比lithological correlation古生物对比palaeontological correlation沉积旋回对比sedimentary cycle correlation重砂矿物对比placer mineral correlation元素对比element correlation古地磁对比paleomagnetic correlation露头outcrop油气显示indication of oil and gas, oil and gas show油气苗oil and gas seepage油苗oil seepage气苗gas seepage沥青苗asphalt seepage沥青湖pitch lake沥青丘pitch mound沥青脉bituminous vein沥青砂(曾用名重油砂、焦油砂)tar sand油砂oil sand泥火山mud volcano地质模型geological model地质模拟geological modelling地下地质subsurface geology取心井coring hole参数井(曾用名基准井)parameter well探井prospecting well,exploratory well预探井(曾用名野猫井)preliminary prospecting well,wildcat 发现井discovery well详探井detailed prospecting well探边井delineation well,extension well评价井assessment well,appraisal well,evaluation well开发井development well生产井producing well,producer注水井water injection well, injector注气井gas injection well布井系统well pattern单井设计well design井身结构casing programme固井cementing试井well testing试油testing for oil试采production testing标准层marker bed, key bed, datum bed目的层target stratum地质录井geological logging岩心灵并core logging岩屑录并cutting logging岩屑滞后时间lag time of cutting钻时录井drilling-time logging钻速录井drilling rate logging泥浆录井mud logging荧光录井fluorescent logging井斜平面图drill-hole inclination plan地层对比stratigraphic correlation含油级别oil-bearing grade完井方案completion programme圈闭发现率trap discovery ratio商业油气流commercial oil and gas flow油藏驱动机理(又称油层驱动机理)reservoir drive mechanism单井产量well production rate年产量annual output, annual yield圈闭勘探成功率trap exploration success ratio储量增长率reserves increase ratio勘探效率exploration efficiency勘探成本exploration cost探井成本cost of prospecting well10.油气地球化学勘探△碳法delta-carbon methodK—V指纹法K-V fingerprint technique吸附烃法absorbed hydrocarbon method气体测量gas survey沥青测量bitumen survey水化学测量hydrochemical survey水文地球化学测量hydrogeochemical survey细菌勘探bacteria prospecting土壤盐测量soil salt suevey地殖物法geobotanical method放射性测量radioactive survey氧化还原电位法oxidation-reduction potential method 11.地震地层学区域地震地层学regional seismic stratigraphy储层地震地层学reservoir seismic stratigraphy层序地层学sequence stratigraphy成因层序地层学genetic sequence stratigraphy年代地层学chronostratigraphy生物地层学biostratigraphy磁性地层学magnetostratigraphy地震岩性学seismic lithology横向预测lateral prediction确定性储层模拟deterministic reservoir modeling随机性储层模拟stochastic reservoir modeling地质统计储层模拟geostatiscal reservoir modeling人机[交互]联作解释interactive interpretation反射终端(又称反射终止)reflection termination整一concordance不整一uncorncordance上超onlap退覆offlap顶超toplap浅水顶超shallow-water toplap深水顶超deep-water toplap湖岸上超coastal onlap深水上超deep-water onlap下超downlap底超baselap削截(曾用名削蚀)truncation视削截(曾用名视削蚀)apparent truncation沉积间断hiatus超层序supersequence层序sequence亚层序subsequence最大洪水界面maximum flooding surface缓慢沉积剖面(又称饥饿剖面)condensed section高水位期highstand period低水伦期lowstand period体系域system tract低水位体系域low system tract,LST海进体系域transgressive system tract,TST高水位体系城high system tract,HST陆架边缘体系域shelf margin system tract,SMST盆底扇basin floor fan斜坡扇slope fan滑塌块体slump block滑塌扇slump fan楔状前积体wedge-prograding complex地震层序seismic sequence地震相seismic facies反射结构reflection configuration前积反射结构progradational reflection configuration s形前积结构sigmoid progradation configuration斜交前积结构oblique progradation configuration叠瓦状前积结构shingled progradation configuration 帚状前积结构brush progradation configuration杂乱前积结构chaotic progradation configuration前积—退积结构progradation-retrogradation configuration 非前积反射结构nonprogradational reflection configuration 平行结构parallel configuration亚平行结构subparrallel configuration乱岗状结构hummocky configuration波状结构wave configuration扭曲形结构contorted configuration断开结构disrupted configuration发散结构divergent configuration杂乱结构chaotic configuration无反射结构reflection-free configuration反射外形reflection external form席状相sheet facies席状披盖相sheet drape facies楔状相wedged facies丘状相mounded facies滩状相bank facies透镜状相lens facies滑塌相slump facies火山丘相valcanic mound facies充填相filled facies反射连续性reflection continuity振幅amplitude频率frequence极性polarity岩性指数lithologic index砂岩百分含量sandstone percent content偏砂相sand-prone facies偏泥相shale-prone facies地震相单元seismic facies unit地震相分析seismic facies analysis地震相图seismic facies map测井相log facies岩心相core facies钻井—地震相剖面图drill-seismicfacies section沉积环境图depositional environment map成因地层单位genetic stratigraphic unit年代地层单位chrono stratigraphic unit岩电地层单位litho-electric stratigraphic unit等时性isochronism穿时性diachronism远景地区prospect分辨率resolution保持振幅处理preserved amplitude processing地震模型seismic model反演模拟inverse modeling相位phase零相位zero phase薄层thin bed调谐厚度tuning thickness反射强度reflection strength相对速度relative velocity绝对速度absolute velocity油气检测hydrocarbon detection声阻抗差acoustic impedance difference振幅随炮检距变化amplitude versus offset,A VO12.遥感地质地理遥感geographical remote sensing航空遥感aerial remote sensing地球资源技术卫星earth resources technology satellite,ERTS地质卫星geologic satellite海洋卫星Seasat陆地卫星Landsat高级地球资源观测系统Advanced Earth Resources Observation System,AEROS红外摄影infrared photograph多谱段扫描系统multispectral scanner system多谱段图象multispectral image黑白图象monochrome彩色合成图象color-composite image,color imagery波谱分析spectral analysis地面分辨率ground resolution灰度gray scale。
(完整版)石油工程专业英语【课文翻译】
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Unit 1 Introduction to petroleum industry1) I ntroduction石油工业在我们的日常生活以及其他工业领域扮演着相当重要的角色。
石油工业可以主要分成上游部分、中游部分以及下游部分.今天,许多大的石油公司,例如中国石油、中石化、中海油,都在中国开采着地下油藏的大量原油。
大多数原油和天然气都是由几百万年前在沼泽和海洋中的植物和动物形成的。
这些有机物与小溪和河流中的淤泥沉积在一起。
这些沉积最终压实形成了沉积岩石。
热量和压力把这些植物和动物中柔软的部分转化成为固态的、液态的和气态的碳氢化合物,也就是我们知道的煤、原油和天然气。
随着陆地和海洋的石油工业的快速繁荣,公众的注意力也集中到了石油工业的环境保护问题上来.幸运的是,技术的创新、精心的培训、严格的法规都将让石油工业对人类、动物、土壤、空气和水的污染降低到最小。
✓Swamp:沼泽,湿地✓Stringent : 严格的,必须遵守的2)Three main components of the industry今天,上游部分包括了超过100家勘探和生产公司以及数百家相关的部门,例如地震和钻井承包商,修井承包商,工程公司和各种科学技术服务公司和供给部门。
中游部分包括连接生产和消费领域的油气集输系统。
其他的设备将提炼硫和液态天然气,储存石油和天然气产品,并且用卡车、铁路以及油罐车运输产品.下游部分由炼油厂、气体分离设备、原油零售商、服务站以及石油化工公司。
✓Service rig:修井设备;修井机✓Utility:n. 功用,实用;a. 实用的;多用途的3)Finding oil and natural gasa)Exploration— the search for petroleum一个圈闭应该包含三个要素:●多孔油藏岩石来聚集石油和天然气-典型的岩石有:砂岩、石灰岩和白云岩。
●上覆不可渗透岩石来阻止油气的逃逸。
油气英语
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近年来,博主(冯伟)多次为有关石油和天然气(oil and gas)问题的会议承担口译任务,以下是博主(冯伟)总结的有关石油和天然气(oil and gas)问题的中英文词汇。
有关石油的词汇:油价持续上涨的压力sustained upward pressure on oil prices如果油价保持在每桶100美元以上if the oil price stays above $100 a barrel油价越是走高the higher oil prices go石油净进口国net oil importers投机和囤积行为加剧了价格猛涨的问题the price surge is exacerbated by speculation and hoarding鉴于油价持续高企given continued high oil prices油价大涨 a spike in the price of oil投机已将油价吹成一个泡沫speculation has inflated oil prices into a bubble能源期货市场energy futures markets期货交易导致现货价格高于其市场均衡的水平futures trading has driven spot prices above their market equilibrium供需关系决定原油的价格supply-and-demand factors determine the price of crude oil油价的主要决定因素the main drivers of the oil price推高国际油价的一个因素 a factor pushing up international oil prices原油价格回落crude prices moderate燃油补贴和价格管制往往带来副作用fuel subsidies and price controls tend to produce unintended consequences扭曲正常的消费模式to distort normal consumption patterns违反供需定律to subvert the law of supply and demand进一步加大供应压力to strain supplies further供需失衡supply-demand imbalance让其国内成品油价格与国际价格接轨to bring its domestic oil product prices in line with international ones深水勘探deep-water exploration分成合同production-sharing contracts重质原油heavy crude超重质原油extra-heavy crude石油品质高oil is of high quality石油品质低oil is of inferior quality含硫量低with a low sulfur content轻质无硫原油light, sweet crude oil油砂tar sands油砂油tar sand oil页岩油shale oil石油瘾oil addiction戒除石油瘾to kick oil addiction石油峰值Peak Oil石油峰值论the notion of Peak Oil达到石油峰值to arrive at Peak Oil石油巨头(大的石油公司)oil majors国家石油公司National Oil Company (NOC)含油盆地oil-bearing basin剩余可采储量remaining recoverable (oil) reserves竞购勘探牌照to bid for exploration licenses勘探权exploration rights石油开采权oil concessions地质敏感be ecologically sensitive调整管道线路to shift the pipeline’s route石油换贷款协议oil-for-loans俄罗斯石油公司Rosneft俄罗斯国家石油管道运输公司Transneft在现货市场购买石油to buy oil in the spot market上游生产upstream production向上游延伸to move upstream海运石油出口量sea borne oil exports炼油加工量refinery throughput炼油产能refining capacity在资源民族主义高涨的背景下amid heightened resource nationalism以优惠价格锁定长期石油供应to lock in long-term oil supplies at favorable prices凝析油condensate油田服务供应商providers of oilfield services区块block每个区块的经营控制权operational control in each block石油开采税oil royalty暴利税 a windfall tax埃克森美孚Exxon Mobil戴文能源Devon Energy道达尔Total康菲石油ConocoPhillips沙特阿美Saudi Aramco优尼科Unocal枯竭的油气田depleted oil and gas fields深水开采deep-water drilling非作业权益non-operating interest海上油气资源offshore oil and gas resources国际能源署the International Energy Agency (IEA)国际能源署理事会the IEA’s Governing Board国际能源署部长级会议the IEA Energy Ministerial Meetings总干事Executive Director田中仲南Nubuo Tanaka石油树脂petroleum resin成品油营销oil products marketing回购buyback回购服务合同buyback service contracts深水油田deep-water oilfield有关天然气的词汇:接收液化天然气to take deliveries of LNG天然气比其他化石燃料更清洁natural gas is cleaner than other fossil fuels 燃气电厂gas-fired power plants再气化能力regasification capacity液化天然气运输船LNG tankers液化厂liquefaction plant海上液化厂offshore liquefaction plants天然气管道natural-gas pipelines地球物理geophysics地球物理的geophysical非常规天然气unconventional natural gas致密砂岩气tight sandstone gas页岩气shale gas页岩层shale rock formations页岩气储量shale gas reserves页岩气资源shale gas resources页岩天然气田shale gasfields已探明天然气储量proven gas reserves水平钻井horizontal drilling岩体水力压裂rock hydraulic fracturing水力压裂fracking/hydraulic fracturing可采储量recoverable reserves勘探权exploration right开采权drilling right火炬气flare gas酸气sour gas过渡性燃料bridge fuel天然气开采natural gas extraction开采、加工天然气to extract and process natural gas气井gas well上游生产upstream production下游市场downstream market上中下游upstream, midstream and downstream向下游延伸to move downstream天然气消费natural gas consumption面临天然气供应过剩to face a glut of natural gas接收站terminals天然气发电的碳排放量低于煤炭gas emits less carbon than coal in power generation跨地区管道inter-regional pipeline天然气定价机制gas-pricing mechanism现货交易spot trading天然气价格指数化gas-price indexation原油向来充当天然气定价的基准crude has historically served as a benchmark for gas prices传递价格信号to transmit price signals与油价挂钩的定价公式oil index pricing formulas天然气放空燃烧gas flaring/to flare the gas承购协议offtake agreements最低承购量minimum offtake volumes下游的承购者downstream offtakers伴生气associated gas垃圾填埋气landfill gas闲置的天然气stranded gas管道利用率pipeline utilization rates压气机compressor泵站pumping stations输入压力input pressure输出压力output pressure输量throughput储气库storage tanks10亿立方米BCM万亿立方米TCM(trillion cubic meters)天然气消费量natural gas consumption管输气pipeline gasLNG产能LNG production capacity亨利中心Henry Hub百万英热单位MMBTU (per million British Thermal Units)发电用气gas consumption for power generation按热值计算by thermal value管道气进口pipeline gas importsLNG 进口量LNG imports输气价格gas transmission price。
掘进机论文中英文对照资料外文翻译文献
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中英文对照资料外文翻译文献英文文献Roadheader applications in mining and tunneling industries ABSTRACTRoadheaders offer a unique capability and flexibility for the excavation of soft to medium strength rock formations, therefore, are widely used in underground mining and tunneling operations. A critical issue in successful roadheader application is the ability to develop accurate and reliable estimates of machine production capacity and the associated bit costs. This paper presents and discusses the recent work completed at the Earth Mechanics Institute of Colorado School of Mines on the use of historical data for use as a performance predictor model. The model is based on extensive field data collected from different roadheader operations in a wide variety of geologic formations. The paper also discusses the development of this database and the resultant empirical performance prediction equations derived to estimate roadheader cutting rates and bit consumption.INTRODUCTIONThe more widespread use of the mechanical excavation systems is a trend set by increasing pressure on the mining and civil construction industries to move away from the conventional drill and blast methods to improve productivity and reduce costs. The additional benefits of mechanical mining include significantly improved safety, reduced ground support requirements and fewer personnel. These advantages coupled with recent enhancements in machine performance and reliability have resulted in mechanical miners taking a larger share of the rock excavation market.Roadheaders are the most widely used underground partial-face excavation machines for soft to medium strength rocks, particularly for sedimentary rocks. They are used for both development and production in soft rock mining industry (i.e. main haulage drifts, roadways, cross-cuts, etc.) particularly in coal, industrial minerals and evaporitic rocks. In civil construction, they findextensive use for excavation of tunnels (railway, roadway, sewer, diversion tunnels, etc.) in soft ground conditions, as well as for enlargement and rehabilitation of various underground structures. Their ability to excavate almost any profile opening also makes them very attractive to those mining and civil construction projects where various opening sizes and profiles need to be constructed.In addition to their high mobility and versatility, roadheaders are generally low capital cost systems compared to the most other mechanical excavators. Because of higher cutting power density due to a smaller cutting drum, they offer the capability to excavate rocks harder and more abrasive than their counterparts, such as the continuous miners and the borers. ROADHEADERS IN LAST 50 YEARSRoadheaders were first developed for mechanical excavation of coal in the early 50s. Today, their application areas have expanded beyond coal mining as a result of continual performance increases brought about by new technological developments and design improvements. The major improvements achieved in the last 50 years consist of steadily increased machine weight, size and cutterhead power, improved design of boom, muck pick up and loading system, more efficient cutterhead design, metallurgical developments in cutting bits, advances in hydraulic and electrical systems, and more widespread use of automation and remote control features. All these have led to drastic enhancements in machine cutting capabilities, system availability and the service life.Machine weights have reached up to 120 tons providing more stable and stiffer (less vibration, less maintenance) platforms from which higher thrust forces can be generated for attacking harder rock formations. . The cutterhead power has increased significantly, approaching 500 kW to allow for higher torque capacities. Modern machines have the ability to cutcross-sections over 100m2 from a stationary point. Computer aided cutterhead lacing design has developed to a stage to enable the design of optimal bit layout to achieve the maximum efficiency in the rock and geologic conditions to be encountered. The cutting bits have evolved from simple chisel to robust conical bits. The muck collection and transport systems have also undergone major improvements, increasing attainable production rates. The loading apron can now be manufactured as an extendible piece providing for more mobility and flexibility. The machines can be equipped with rock bolting and automatic dust suppression equipment to enhance the safetyof personnel working at the heading. They can also be fitted with laser-guided alignment control systems, computer profile controlling and remote control systems allowing for reduced operator sensitivity coupled with increased efficiency and productivity. Figure-1 shows a picture of a modern transverse type roadheader with telescopic boom and bolting system.Mobility, flexibility and the selective mining capability constitute some of the most important application advantages of roadheaders leading to cost effective operations. Mobility means easy relocation from one face to another to meet the daily development and production requirements of a mine. Flexibility allows for quick changes in operational conditions such asFigure-1: A Transverse Cutterhead Roadheader (Courtesy of Voest Alpine)different opening profiles (horse-shoe, rectangular, etc.), cross-sectional sizes, gradients (up to 20, sometimes 30 degrees), and the turning radius (can make an almost 90 degree turn). Selectivity refers to the ability to excavate different parts of a mixed face where the ore can be mined separately to reduce dilution and to minimize waste handling, both contributing to improved productivity. Since roadheaders are partial-face machines, the face is accessible, and therefore, cutters can be inspected and changed easily, and the roof support can be installed very close to the face. In addition to these, high production rates in favorable ground conditions, improved safety, reduced ground support and ventilation requirements, all resulting in reduced excavation costs are the other important advantages of roadheaders.The hard rock cutting ability of roadheaders is the most important limiting factor affecting their applications. This is mostly due to the high wear experienced by drag bits in hard, abrasiverocks. The present day, heavy-duty roadheaders can economically cut most rock formations up to 100 MPa (~14,500 psi) uniaxial compressive strength (UCS) and rocks up to 160 MPa (~23,000 psi) UCS if favorable jointing or bedding is present with low RQD numbers. Increasing frequency of joints or other rock weaknesses make the rock excavation easier as the machine simply pulls or rips out the blocks instead of cutting them. If the rock is very abrasive, or the pick consumption rate is more than 1-pick/m3, then roadheader excavation usually becomes uneconomical due to frequent bit changes coupled with increased machine vibrations and maintenance costs.A significant amount of effort has been placed over the years on increasing the ability of roadheaders to cut hard rock. Most of these efforts have focused on structural changes in the machines, such as increased weight, stiffer frames and more cutterhead power. Extensive field trials of these machines showed that the cutting tool is still the weakest point in hard rock excavation. Unless a drastic improvement is achieved in bit life, the true hard rock cutting is still beyond the realm of possibility with roadheaders. The Earth Mechanics Institute(EMI) of the Colorado School of Mines has been developing a new cutter technology, the Mini-Disc Cutter, to implement the hard rock cutting ability of disc cutters on roadheaders, as well as other types of mechanical excavators (Ozdemir et al, 1995). The full-scale laboratory tests with a standard transverse cutterhead showed that MiniDisc Cutters could increase the ability of the roadheaders for hard rock excavation while providing for lesser cutter change and maintenance stoppages. This new cutting technology holds great promise for application on roadheaders to extend their capability into economical excavation of hard rocks. In addition, using the mini-disc cutters, a drum miner concept has been developed by EMI for application to hard rock mine development. A picture of the drum miner during full-scale laboratory testing is shown in Figure-2.Figure-2: Drum Miner CutterheadFIELD PERFORMANCE DATABASEPerformance prediction is an important factor for successful roadheader application. This deals generally with machine selection, production rate and bit cost estimation. Successful application of roadheader technology to any mining operation dictates that accurate and reliable estimates are developed for attainable production rates and the accompanying bit costs. In addition, it is of crucial importance that the bit design and cutterhead layout is optimized for the rock conditions to be encountered during excavation.Performance prediction encompasses the assessment of instantaneous cutting rates, bit consumption rates and machine utilization for different geological units. The instantaneous cutting rate (ICR) is the production rate during actual cutting time, (tons or m3 / cutting hour). Pick consumption rate refers to the number of picks changed per unit volume or weight of rock excavated, (picks / m3 or ton). Machine utilization is the percentage of time used for excavation during the projectTable-I: Classification of the Information in the DatabaseThe Earth Mechanics Institute of the Colorado School of Mines jointly with the Mining Department of the Istanbul Technical University has established an extensive database related to the field performance of roadheaders with the objective of developing empirical models for accurate and reliable performance predictions. The database contains field data from numerous mining and civil construction projects worldwide and includes a variety of roadheaders and different geotechnical conditions.The empirical performance prediction methods are principally based on the past experience and the statistical interpretation of the previously recorded case histories. To obtain the required field data in an usable and meaningful format, a data collection sheet was prepared and sent to major contractors, owners, consultants, and roadheader manufacturers. In addition, data wasgathered from available literature on roadheader performance and through actual visits to job sites. This data collection effort is continuing.The database includes six categories of information, as shown in Table-I. The geological parameters in the database consist generally of rock mass and intact rock properties. The most important and pertinent rock mass properties contained in the database include Rock Quality Designation (RQD), bedding thickness, strike and dip of joint sets and hydrological conditions. The intact rock properties are uniaxial compressive strength, tensile strength, quartz content, texture and abrasivity. The rock formations are divided into separate zones to minimize the variations in the machine performance data to provide for more accurate analysis. This also simplifies the classification of the properties for each zone and the analysis of the field performance data.The major roadheader parameters included are the machine type (crawler mounted, shielded), machine weight, cutterhead type (axial, transverse), cutterhead power, cutterhead-lacing design, boom type (single, double, telescopic, articulated), and the ancillary equipment (i.e.grippers, automatic profiling, laser guidance, bit cooling and dust suppression by water jets, etc.).The operational parameters generally affect the performance of the excavator through machine utilization. The most important operational parameters include ground support, back up system (transportation, utility lines, power supply, surveying, etc.), ground treatment (water drainage, grouting, freezing, etc.), labor (availability and quality), and organization of the project (management, shift hours, material supply, etc.).CONCLUSIONSThe evaluation and analysis of the data compiled in the roadheader field performance database has successfully yielded a set of equations which can be used to predict the instantaneous cutting rate (ICR) and the bit consumption rate(BCR) for roadheaders. A good relationship was found to exist between these two parameters and the machine power (P), weight (W) and the rock compressive strength (UCS). Equations were developed for these parameters as a function of P, W and UCS. These equations were found mainly applicable to soft rocks of evaporatic origin. The current analysis is being extended to include harder rocks with or without joints to make the equations more universal. In jointed rock, the RQD value will be utilized as a measure of rockmass characteristics from a roadheader cuttability viewpoint. It is believed that these efforts will lead to the formulation of an accurate roadheader performance prediction model which can be used in different rock types where the roadheaders are economically applicable.中文译文掘进机在采矿和隧道业中的应用摘要掘进机为方便的挖掘硬岩而提供了一个独特的能力。
本科毕业设计(论文)外文翻译译文
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本科毕业设计(论文)外文翻译译文学生姓名:院(系):油气资源学院专业班级:物探0502指导教师:完成日期:年月日地震驱动评价与发展:以玻利维亚冲积盆地的研究为例起止页码:1099——1108出版日期:NOVEMBER 2005THE LEADING EDGE出版单位:PanYAmericanYEnergyvBuenosYAiresvYArgentinaJPYBLANGYvYBPYExplorationvYHoustonvYUSAJ.C.YCORDOVAandYE.YMARTINEZvYChacoYS.A.vYSantaYCruzvYBolivia 通过整合多种地球物理地质技术,在玻利维亚冲积盆地,我们可以减少许多与白垩纪储集层勘探有关的地质技术风险。
通过对这些远景区进行成功钻探我们可以验证我们的解释。
这些方法包括盆地模拟,联井及地震叠前同时反演,岩石性质及地震属性解释,A VO/A V A,水平地震同相轴,光谱分解。
联合解释能够得到构造和沉积模式的微笑校正。
迄今为止,在新区有七口井已经进行了成功钻探。
基质和区域地质。
Tarija/Chaco盆地的subandean 褶皱和冲断带山麓的中部和南部,部分扩展到玻利维亚的Boomerange地区经历了集中的成功的开采。
许多深大的泥盆纪气田已经被发现,目前正在生产。
另外在山麓发现的规模较小较浅的天然气和凝析气田和大的油田进行价格竞争,如果他们能产出较快的油流而且成本低。
最近发现气田就是这种情况。
接下来,我们赋予Aguja的虚假名字就是为了讲述这些油田的成功例子。
图1 Aguja油田位于玻利维亚中部Chaco盆地的西北角。
基底构造图显示了Isarzama背斜的相对位置。
地层柱状图显示了主要的储集层和源岩。
该油田在Trija和冲积盆地附近的益背斜基底上,该背斜将油田和Ben i盆地分开(图1),圈闭类型是上盘背斜,它存在于连续冲断层上,Aguja有两个主要结构:Aguja中部和Aguja Norte,通过重要的转换压缩断层将较早开发的“Sur”油田分开Yantata Centro结构是一个三路闭合对低角度逆冲断层并伴随有小的摆幅。
天然气中英文对照外文翻译文献
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中英文对照翻译(文档含英文原文和中文翻译)天然气三甘醇脱水的参数分析为了防止液体水的凝结,确保管道设备安全无故障运行,天然气通过管道长距离输送之前必须进行脱水。
本文分析每天用液体除湿法对一百万立方米标准状态下天然气脱水,即泡罩塔盘上的吸收剂三甘醇的脱水方法。
这篇文章中用公式在不同的气体流量下获得的结果与现有文献中的数据相当的吻合。
影响操作参数的因素是多样的,本文就压力,温度和三甘醇的循环量,对设计单元的影响进行简要讨论。
关键词:脱水液体干燥剂气体含水量天然气托盘塔简介天然气是初级能源的重要来源,是发现于油田的一种天然燃料。
大型天然气田的发现于20世纪80年代和90年代,寻找到更多储量天然气的前景很广阔。
过去25年在世界总的初级能源需求中天然气的需求来出现了显著增长。
这种增长的驱动力已经普及到了能源供应多样化以及改善能源供应的政策,经济的增长需要一个更清洁的环境,并深入开发利用本地能源资源。
天然气的生产通常伴随有原油和水,因此要在生产的地方对天然气进行初级分离。
在油气田被分离的气体中含有凝结水和碳氢化合物,如乙烷和重碳氢化合物(C)。
为了确保无故障运行的天然气输送系统,除水以防止冷凝液体水和碳6+氢化合物的形成是非常必要的。
除了形成水合物的风险,液体还会减少系统的体积容量,对压力调节器和过滤器操作造成干扰。
凝结的液体累积在管道内,会造成工作压力增加以及传输液体会对设备造成潜在的危害。
很多天然气输送公司对所接受输送的天然气的质量有严格的限制,如水露点、烃露点,以减少输送过程中遇到的问题。
对天然气脱水,就是要将天然气中有关的气态水清除。
防止管道和设备的腐蚀或侵蚀是非常有必要的,特别是当天然气中含有CO2和H2S时。
对天然气除水后水露点的要求要满足销售要求及管道输送条件。
鉴于这些原因就必须指定一个水露点和天然气烃露点上限。
陆上天然气处理过程采用了脱水工艺控制水露点和制冷机控制天然气的烃露点。
本文要说明的是如何控制水露点。
石油类英文翻译文献
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Retro fit design of a boil-off gas handling process in lique fied natural gas receiving terminalsChansaem Park,Kiwook Song,Sangho Lee,Youngsub Lim,Chonghun Han *School of Chemical and Biological Engineering,Seoul National University,San 56-1,Shillim-dong,Kwanak-gu,Seoul 151-742,Republic of Koreaa r t i c l e i n f oArticle history:Received 4October 2011Received in revised form 22February 2012Accepted 23February 2012Available online 27March 2012Keywords:Boil-off gasLNG receiving terminal Retro fit design Cryogenic energy BOG handlinga b s t r a c tGeneration of Boil-off gas (BOG)in lique fied natural gas (LNG)receiving terminals considerably affects operating costs and the safety of the facility.For the above reasons,a proper BOG handling process is a major determinant in the design of a LNG receiving terminal.This study proposes the concept of a retro fit design for a BOG the handling process using a fundamental analysis.A base design was determined for a minimum send-out case in which the BOG handling becomes the most dif ficult.In the proposed design,the cryogenic energy of the LNG stream is used to cool other streams inside the process.It leads to a reduction in the operating costs of the compressors in the BOG handling process.Design variables of the retro fit design were optimized with non-linear programming to maximize pro fitability.Optimization results were compared with the base design to show the effect of the proposed design.The proposed design provides a 22.7%energy saving ratio and a 0.176year payback period.Ó2012Elsevier Ltd.All rights reserved.1.IntroductionRecently,lique fied natural gas (LNG)receiving terminals have been constructed worldwide due to an continuous increase in LNG demand [1].A LNG receiving terminal has the role of transporting the LNG from the carrier and supplying it to industrial or residential customers.Imported LNG is stored in its liquid state in storage tanks at the LNG receiving terminal.In order to deliver LNG to the customer,LNG is vaporized through a regasi fication process [2].Vapor continuously evaporates from LNG since LNG absorbs the heat in the storage tank and in the cryogenic pipelines during unloading and storage.This vapor is called boil-off gas (BOG).It causes safety problems in the LNG facilities since the pressure inside that facility increases with the generated BOG.Over-treatment of the BOG consumes excess energy.Hence,proper handling of BOG is required for an optimal design of an LNG receiving terminal [3].Usual BOG handling methods for LNG receiving terminals are recondensation and direct compression.The recondensation method is shown in Fig.1.BOG is compressed to around 10bar through a BOG compressor and mixed with enough send-out LNG,which is pumped at same pressure in the recondenser so to obtain a liquid mixture.The LNG mixed with the BOG is compressed topipeline pressure in high-pressure (HP)pump and vaporized by seawater.The direct compression method is shown in Fig.1.The BOG in a storage tank is compressed to the pipeline pressure through more than 2compression stages and then,transported to the pipeline with the send-out natural gas [4].Generally,the direct compression method has higher operating costs than the recon-densation method because the gas is directly compressed to a high pressure.Most LNG receiving terminals,which include the Incheon LNG receiving terminal in Korea,use a combined method of recondensation and direct compression [5].As shown in Fig.1,the compressed BOG from the BOG compressor is condensed by mixing with the LNG in the recondenser.If the send-out flow rate of the LNG from the storage tank is insuf ficient to condense all of the BOG,BOG that cannot be condensed accumulates in the recondenser.Thereupon,the remaining BOG in the recondenser is compressed to the pipeline pressure through the HP compressor and is directly transported to the pipeline mixed with the natural gas [2].Since the operation of the HP compressor requires considerable energy and hence,has considerable operating costs,it is desirable to minimize the operation of the HP compressor.In the BOG handling process,high-pressure LNG compressed by HP pump has a useful cryogenic energy.The high-pressure LNG stream,which is maintained around À120 C,should be heated so it can be vaporized at 0 C with the seawater vaporizer.Hence,the cryogenic energy of this high-pressure LNG stream can be used to improve the BOG handling process.*Corresponding author.Tel.:þ8228801887.E-mail addresses:chhan@snu.ac.kr ,xver@snu.ac.kr (C.Han).Contents lists available at SciVerse ScienceDirectEnergyjournal h omepage:w/locate/energy0360-5442/$e see front matter Ó2012Elsevier Ltd.All rights reserved.doi:10.1016/j.energy.2012.02.053Energy 44(2012)69e 78Recently,research on the LNG receiving terminals is usually focused on analyzing the operation of a speci fic facility in the LNG receiving terminal and the utilization of the cryogenic energy of the LNG stream.Lee et al.suggested a reliable unloading operation procedure for a mixed operation of above-ground and in-ground storage tank [6].Kim et al.analyzed mixing drums and heat exchangers as a BOG recondenser [7].Lim et al.developed the methodology for a stable simulation of the LNG pipe [8].Studies on the operation of the BOG compressor at the Pyeoungtaek LNG receiving terminal was performed with industrial data [3,9].Liu et al.optimized a process for the multi-stage recondensation of the BOG based on a thermodynamic analysis [10].Studies on optimal operating conditions for a regasi fication facility have been per-formed [11,12].Various studies have been proposed a power generation plant using cryogenic energy applied to power cycle.Liu and You developed the mathematical model to predict the total heat exergy of LNG [13].Qiang et al.analyzed the power cycle based on the cold energy of LNG [14].Also Qiang et al.carried out the exergy analysis for several power cycles used for recovering the LNG cold energy [15].Sun et al.proposed and analyzed the cryo-genic thermo-electric generator [16].Kim and Hong analyzed the exergy of current LNG receiving terminal and cold power genera-tion plant [17].Szargut and Szczygiel proposed and optimized power plant using LNG cryogenic exergy [18].A cogeneration plant using the BOG and cryogenic energy has been suggested [4,19].Based on a literature survey,few studies on the retro fit design of the BOG handling process has been reported in term of reducing the operating energy.The improvement and optimization of the BOG handling process have the potential to reduce the operating costs of the natural gas facility.The contribution of this paper is development of the retro fit design of a BOG handling process in which the design variables are optimized for total cost minimization.Cryogenic energy of the LNG is used to directly reduce the capital cost and operating cost without additional power generator.In this paper,we used the retro fit method which includes the thermodynamic analysis,process simulation and optimization.This paper describes a general operating line of a BOG handling process based on thermodynamic analysis.In the operating line,the opportunity of design improve-ment and the reasons of energy saving are described by comparing with base case design and retro fit design.Based on the thermo-dynamic analysis,a superstructure of the retro fit design is devel-oped and the design variables,which are in direct relationship withcapital cost and operating cost,are de fined.Since the objective function of optimization problem is calculated using process simulation results,the optimization algorithm of the design vari-ables is based on process simulation.The optimal values of design variables are achieved using Sequential Quadratic Programming (SQP)solver in MATLAB.Finally optimal design of the retro fit BOG handing process is veri fied through the sensitivity analysis of external operating conditions.2.MethodologyThe algorithm of the retro fit method is shown in Fig.2in which it aims to minimize the capital cost and operating cost of BOG handling process.Retro fit procedure starts with thermodynamic analysis of BOG handling process.The P e H (pressure-enthalpy)diagram is generated from LNG properties based on Peng-Robinson equation of state.As the operating line of the BOG handling process is presented in P e H diagram,the possibility for improvement of the BOG handling process is investigated.The retro fit opportunity for ef ficient design is obtained from a result of the thermodynamic analysis for the operating line.In the next step,the superstructure of the retro fit design is developed by applying the retro fit oppor-tunity based on thermodynamic analysis.To obtain the optimal design,the optimization problem of retro fit design is formulated,in which the main objective is the minimization of capital cost and operating cost.The design variables,which affect the capital cost and operating cost,are de fined to formulate the objective function based on the superstructure of the retro fit design.In addition,design constraints of the optimization problem are determined using the process simulation of the superstructure.Since the optimization problem of retro fit design is non-linearly constrained problem,it is solved using SQP method.At each iter-ation step,the optimization problem is approximated by quadratic form.Then the quadratic programming subproblem is solved using a combination of active-set strategy and process simulation of retro fit design to calculate the Lagrange multiplier and search direction for next iteration.If the termination criteria of QP solution are met,design variables at current iteration step (x k )are optimal values of the SQP problem and the solver stops.Otherwise,the step length for next iteration is evaluated using line search method.Then,x k is updated by search direction and step length to generate new value x k þ1.In the next iteration,the updated values are used for the next step.In this paper,the process simulation of the retro fitFig.1.A process flow diagram of the LNG handling process.C.Park et al./Energy 44(2012)69e 7870design was conducted by Aspen Plus and the SQP was solved by MATLAB.After the optimal design values of retro fit process are obtained by solving the SQP,sensitivity analysis for the design parameters which have variability,such as LNG demand rate,is performed to verify the pro fitability of the retro fit design.Finally the retro fit design is proposed after veri fication of the pro fitability.3.Case study3.1.Base case design de finitionVarious studies on the practical operation which include the BOG compressor were conducted about the Pyeongtaek LNG receiving terminal.The practical operations of the compressor [3,9]and the recondenser [7,20],operator ’s feedback [21,22],basic design information [23]of the Pyeongtaek LNG receiving terminal were indicated.In this study,base case design of the BOG handling process was determined based on the practical design conditions of the Pyeongtaek LNG receiving terminal.Details of the base case design are presented in Table 1.However,the base case design is not identical to Pyeongtaek LNG receiving terminal due to only one difference,the HP compressor.Most BOG handling processes use HP compressors for BOG handling while Pyeongtaek LNG terminal utilizes BOG as fuel since it is adjacent to other plants.HP compressor in Pyeongtaek LNG terminal is replaced with flare stack and power plant [20].Base case design was determined assuming that the HP compressor is used for the BOG handling.Therefore the process flow diagram of the base case design is identical to Fig.1and design conditions are based on Pyeongtaek LNG receiving terminal in Table 1.The BOG compressor and HP compressor consisted of a 2-stage compression in which the pressure ratio is identical [21].The generation rate of the BOG in the storage tanks was determined by a normal operation case [3]and the send-out rate of the LNG was determined by a minimum send-out case [21].Since this paper proposes an advanced process design,we choose the minimum send-out case,which has dif ficulties in handling the BOG.For the above reason,a retro fit design based on the minimum send-out case can easily handle BOG using recondensation whenever the send-out rate of the LNG changes.Modeling and simulation of the base case was conducted in Aspen Plus in order to calculate the total operating cost of the BOG handling process.The stream data of the process simulation is presented in Table 2.Stream numbers in Table 2correspond with the stream number in Fig.1.Temperature values of the compressor inter-streams,stream 2and 7,are at À49.6 C and À58.1 C,respectively and there is no need to intercool these streams.Therefore,stream 3and 8are identical to stream 2and 7.Operating costs of each unit in the base case are presented in Table 3.The operating costs of the whole process considered 5units,which included the BOG compressor,LP pump,HP compressor,HP pump,and seawater pump.The BOG flow rate,which is a dif ficult variable to measure,is sharply fluctuated in the LNG receiving terminal.To analyze effects of a shift in the BOG flow rate on the result of simulation,the total operating costs of the process model are computed changing Æ10%of the BOG flow rate as shown in Fig.3.If the BOG flow rate is changed in the range of Æ10%,the result of process modelisFig.2.A algorithm for retro fit method.Table 1The design conditions of the base case design.ParametersValue Storage tank pressure,mbarg170Suction temperature of BOG compressor, C À120Temperature of LNG before recondensation, C À155BOG flow rate,ton/h30Minimum LNG send-out rate,ton/h 200Recondensation pressure,kg/cm 210Send-out pressure,kg/cm 276Send-out temperature, CTable 2The stream data of the base case design.1245679101112Temperature, C À120À49.646.8À155.0À122.6À58.129.8À122.6À117.70.00Pressure,bar 1.12 3.439.8113.739.8127.0274.539.8174.5374.53Vapor fraction 1110111001Mass flow,t/h30.030.030.0200.04.74.74.7225.3225.3225.3C.Park et al./Energy 44(2012)69e 7871changed in the range between À13.4%and 14.8%.Thus,the result of process model is greatly affected by BOG flow rate.It is necessary to use the accurate value of BOG flow rate for process simulation in this method.3.2.Thermodynamic analysis of the base case designA P e H diagram of the base design is shown in Fig.4to analyze operations in the BOG handling process.The pressure axis in Fig.4is the logarithmic coordinate.The blue line is the isothermal line,which presents the operation state at a speci fic temperature.The red line is the bubble point and dew point,which yield information on the phase change.The green line is the isentropic line of oper-ation;LNG or BOG is compressed following the isentropic line through the pump and compressor.When the LNG or BOG moves following the isentropic line,the magnitude of the x -axis denotes the operation cost of the related unit.Point 1and 2represent the state of the LNG and BOG in the storage tank.LNG is pressurized to the recondensation pressure with the LP pump at point 3.The BOG is compressed to the recondensation pressure with the BOG compressor (point 4).Although operation of the BOG and HP compressor is shown as 1path in the P e H diagram,the BOG and HP compressor consist of 2stages.In the recondenser,the LNG and BOG are mixed at the recondensation pressure to form a liquid mixture,which becomes saturated LNG (point 5).The liquid mixture from the recondenser is pressurized to the send-out pressure with the HP pump (point 6).The LNG stream at high pressure is heated by seawater so to transport it in the vapor state.However,the BOG,which cannot be condensed in the recondenser,goes through the HP compressor to be directly compressed to the send-out pressure and supplied to the customer mixed with the send-out natural gas (point 7).(For interpretation of the references to color in this figure legend,the reader is referred to the web version of this article.)3.3.Proposal of the retro fitting design for energy savingIf the BOG from the BOG compressor is cooled with a heat exchanger using the high-pressure LNG stream (point 6in Fig.4),the operating lines of the BOG handling process in the P e H diagram changes as following path 1,2in Fig.4.Since the temperature of the liquid mixture is lower through the path 1,2,the recondensation pressure can be lower;a decrease in the recondensation pressure reduces the operating cost of the BOG compressor.In addition,a larger BOG flow rate can be condensed to reduce the operating cost of the HP compressor.The scheme of this design is shown in Fig.5.A high-pressure LNG stream goes through the BOG cooler to cool down the BOG stream.This method provides a lower operating pressure in the recondenser and a larger BOG rate to be condensed.It can reduce the operating energy of the BOG and HP compressors.The BOG and HP compressors usually consist of 2stages due to a compression ratio of 7e 10.Hence,the cryogenic energy of the high-pressure LNG stream is utilized for intercooling in theTable 3The operating costs of the base design.UnitEnergy costs 1st-stage BOG compressor,kW 1189.912nd-stage BOG compressor,kW 1699.191st-stage HP compressor,kW 144.812nd-stage HP compressor,kW 209.94HP pump,kW 1279.92LP pump,kW 188.39SW Pump,kW 49.07Sum,kW4761.24Fig.3.The result of total operating cost with changing BOG flowrate.Fig.4.A P e H diagram of the BOG handling process.C.Park et al./Energy 44(2012)69e 7872compressors.This method improves the efficiency of the compressors decreasing the temperature of the BOG inter-stream. As shown in Fig.6,the operation paths of the compressors shift to paths that are more efficient.In the proposed paths,the oper-ating costs of the BOG and HP compressors are reduced.The high-pressure LNG stream is utilized for intercooling in the compressors by the compressor intercoolers in Fig.1.The superstructure of the retrofit design was based on the above thermodynamic analysis of the BOG handling operation.As shown in Fig.7,the high-pressure LNG stream from the HP pump splits into3streams.Each streamflows through the BOG compressor intercooler,the BOG cooler,and the HP compressor intercooler to cool down the BOG stream;thereby,the operating costs of the BOG and HP compressors are reduced.After the3branch streams pass through the heat exchangers,these streams combine to become one stream.This single LNG stream then moves to the seawater vaporizer.The retrofit design provides a lower recondensation pressure and a larger condensing rate for the BOG and improves the compressor efficiency for energy savings.3.4.Optimization of design variablesThe design variables of the proposed superstructure need to be optimized to minimize the total operating cost.For this purpose, modeling of the proposed superstructure was done with Aspen Plus.Optimal design and operating variables were obtained with specified constraints to minimize the operating costs.The objective function of this optimization problem was to maximize the venture profit(VP),which measures the profitability of the design for the BOG handling process shown by Eq.(1).The return on investment is 0.2.The saving costs(C S)are obtained to calculate the multiplica-tion of the price of electricity(P e)and the difference between the operating cost of the base design and the proposed design shown by Eq.(2).The capital cost of the retrofit design considers the equipment cost of the additional heat exchanger;the equipment cost of the heat exchanger was calculated by referring to Warren Seider[24].The purchase cost(C P)of the heat exchanger is calcu-lated by multiplication of the pressure factor(F P),the material factor(F M),the tube-length factor(F L)and base purchase cost(C B) shown in Eq.(3).The base purchase costs are correlated in terms of heat-exchanger surface areas(A i),which are calculated by process simulation,in ft2shown in Eq.(4).The material factor is a function of surface area shown in Eq.(5).The parameters a and b are2.70 and0.07,respectively,since stainless steel is used as the material of the shell and tube side.The tube-length factor is1.25for tube length below8feet.The pressure factor is based on the shell-side pressure(P)in psig shown in Eq.(6).VP¼C SÀi min C P(1) C S¼XW BasicÀXW ProposedÂP e(2) C P¼F P F M F L C B(3) C B¼expn11:147À0:9186½lnðA iÞ þ0:09790½lnðA iÞ 2o(4)F M¼aþA i100b(5)F P¼0:9803þ0:018Pþ0:0017P2(6) Fig.5.A scheme of the BOG handling process with the BOGcooler.Fig.6.A P e H diagram of the BOG handling process with the intercooler of the BOG and HP compressors.C.Park et al./Energy44(2012)69e78733.5.Design variablesIn this optimization problem,design variables were divided into 4types.As shown in Fig.8,the first design variable was the recondensation pressure (P R )at which the BOG stream from the BOG compressor and LNG stream from the LP pump is mixed to condense the BOG.If the recondensation pressure is raised,the operating cost of the HP compressor is reduced due to the addi-tional condensation of the BOG.However,the operating cost of the BOG compressor and the LP pump increases as the discharge pressure of the BOG compressor and LP pump increases.Hence,it is necessary to find the optimal recondensation pressure to minimize the operating cost.The second design variable was the heat transfer area of the heat exchangers that are added to the proposed design.The heat transfer areas of the BOG cooler (A 1)in Fig.5,the inter-cooler of the BOG compressor (A 2)and the intercooler of the HP compressor (A 3)in Fig.1need to be determined for an optimal retro fit design.If the heat transfer areas increase,the effects of cooling the BOG consistently increase along with the capital cost of the heat exchangers.For this reason,the optimal heat transfer area of each heat exchanger needs to be determined to maximize the VP.The third design variable was the compression ratio (r Bi ,r Hi )for each stage of the BOG and HP compressors.The total compression ratio of the compressors is determined by the recondensation pressure,but the compression ratio for each stage should be determined to achieve minimum operating costs.In the proposed design,the high-pressure LNG stream is used for the 3heat exchangers.The high-pressure LNG stream splits into 3paths.The fourth design variable was the split ratio of the high-pressure LNG stream to the BOG cooler (s 1),the BOG compressor intercooler (s 2),and the HP compressor intercooler (s 3)shown in Fig.9.For a minimum total operating cost,the split ratio needs to be optimized.The constraints were considered for the feasible design vari-ables,which were obtained by solving the optimization.Constraints on heat and mass balance,on a theoretical model for unit operation,and on phase equilibrium were taken into account using process modeling.The compression ratio of each stage should change in the range from 1.5to 3.5shown by Eqs.(7)and (8).In addition,the discharge pressure of the BOG compressor shouldtheFig.7.The superstructure of the retro fitdesign.Fig.8.The recondensationpressure.Fig.9.The split ratio of the high-pressure LNG stream to the BOG cooler (S 1),the BOG compressor intercooler (S 2),and the HP compressor intercooler (S 3).C.Park et al./Energy 44(2012)69e 7874same the recondensation pressure,which was already determined,and the discharge pressure of the HP compressor should be 76kg/cm 2of the send-out pressure shown by Eqs.(9)and (10).The split of the high-pressure stream should remain in the range from 0to 1shown by Eq.(11).The summation of the split ratio should become one shown by Eq.(12).When the BOG stream moves to the second stage of the compressors,the phase of this stream should remain in the vapor state.The vapor fraction (vf B ,vf H )of the BOG stream,which heads for the second stage of the compressors,should be maintained at one shown by Eqs.(13)and (14).In addition,the temperature difference,which are correlated in terms of heat exchanger area,split ratio,heat capacity of BOG (C BOG )and LNG (C LNG ),between the BOG stream and the high-pressure LNG stream in the BOG cooler (D T 1),in the BOG compressor intercooler (D T 2),and the HP compressor intercooler in (D T 3)should be higher than the minimum approach temperature (D T min )shown by Eq.(15).1:5 r Bi 3:5;i ¼1;2(7)1:5 r Hi 3:5;i ¼1;2(8)1:1Âr B1Âr B2¼P R (9)P R Âr H1Âr H2¼74:53(10)0 s i 1;i ¼1;2;3(11)Xs i ¼1;i ¼1;2;3(12)vf B ðP R ;r B1;A 2;s 2Þ¼1(13)vf H ðP R ;r H1;A 3;s 3Þ¼1(14)D T i ðA i ;s i ;C BOG ;C LNG Þ!D T min ;i ¼1;2;3(15)4.ResultsThe optimization problem formulated in chapter 3was solved with user de fined non-linear programming in order to find the optimal design variables that can maximize the VP of the proposed design.parison to the base designAs presented in Table 4,a decrease in the recondensation pressure (from 9.81bar to 5.56bar)reduced the operating cost of the BOG compressor.Additionally in the proposed design,the BOG stream was totally condensed in the recondenser.Since there was no BOG rate for the HP compressor,the HP compressor was not put into operation,and the operating cost of the HP compressor became zero.Due to the above reason,the split ratio of the HP compressor inter-cooler and heat transfer area became zero in the optimization results.In this study,the proposed design was based on the minimum send-out case.If the BOG stream was totally condensed through the recondenser in the minimum send-out case in which the least amount of the LNG stream is used for the condensation,any case of the proposed design needs not to include the HP compressor.Thus,in the proposed design,the capital costs were reduced by eliminating the HP compressor unit,shown in Fig.10.The operating costs of the base design and proposed design are shown in Fig.11.Due to the decrease in the recondensation pressure and increase in the compressor ef ficiency by intercooling,the operating cost of the BOG compressor was reduced.Since the BOG stream was totally condensed,the HP compressor was not put into operation and the operating cost of the HP compressor became zero.The proposed design totally reduced the energy cost of 36.84%in the minimum send-out case.Table 4A comparison of the design variables.VariableBasic design Proposed design Recondensation pressure (P R ),bar 9.81 5.56Area of BOG cooler (A 1),m 2095.46Area of BOG comp.intercooler (A 2),m 2096.70Area of HP comp.intercooler (A 3),m 20e Pressure ratio of BOG comp.(r B1) 2.86 2.00Pressure ratio of BOG comp.(r B2) 2.86 2.35Pressure ratio of HP comp.(r H1) 2.76e Pressure ratio of HP comp.(r H2) 2.76eSplit ratio to BOG cooler (s 1)00.589Split ratio to BOG comp.intercooler (s 2)00Split ratio to HP Comp.intercooler (s 3)0.411Fig.10.The superstructure of the proposed design.C.Park et al./Energy 44(2012)69e 78754.2.Sensitivity analysisIn order to find the effect of the LNG send-out rate,which changes due to changes in the seasons and time,the optimal LNG split ratio for the BOG cooler was determined by increasing LNG send-out rate from the minimum rate to the maximum rate [23].Table 5shows the operating costs as the split ratio for the BOG cooler and the LNG send-out rate change.At a send-out rate of 400,000kg/h,the operating costs due to the changing split ratio are shown in Fig.12.When the split ratio ranges from 0.2to 0.8,the split ratio had little effect on the operating costs.The optimal split ratio was determined for each send-out rate based on the results of the sensitivity analysis shown in Table 6.The energy saving cost was calculated by subtracting operating cost of the proposed design,in which the send-out rate and split ratio changed,from the operating cost of the base design,in which the send-out rate changed.Fig.13presents the energy saving ratio and cost according to the send-out rate at the optimal split ratio.The energysavingFig.11.A comparison of operating costs.Table 5Total operating cost according to the split ratio and send-out rate.Send-out flow rate (kg/h)Split ratio (for BOG compressor intercooler)0.10.20.30.40.50.60.70.80.9Total operating cost (kW)2,20,0003136.843116.533112.613111.083111.103111.253111.533112.233115.722,40,0003240.403222.243218.653217.333217.333217.453217.693218.283221.192,60,0003346.043329.713326.443325.293325.283325.343325.543326.053328.502,80,0003453.393438.643435.623434.643434.613434.613434.763435.183437.273,00,0003561.803548.383545.623544.863544.903544.973545.103545.433547.223,20,0003671.053658.773656.243655.663655.763655.903656.133656.573658.143,40,0003781.043769.763767.433767.013767.163767.373767.693768.283769.853,60,0003891.753881.353879.203878.933879.113879.383879.793880.513882.243,80,0004003.133993.513991.513991.373991.593991.913992.393993.223995.134,00,0004115.114106.174104.304104.294104.544104.904105.444106.374108.446,00,0005256.245251.265250.645250.905251.245251.735252.495253.825256.718,00,0006416.526413.196413.276413.506413.816414.276414.996416.276419.2310,00,0007584.437582.297582.447582.647582.927583.327583.967585.127587.9212,00,0008756.088754.758754.888755.058755.298755.648756.208757.248759.8314,00,0009929.839929.049929.169929.319929.529929.839930.339931.269933.64Fig.12.The operating costs due to the changing split ratio at send-out rate of 400,000kg/h.Table 6The optimal split ratio according to the send-out rate.Send-out flow rate(kg/h)Optimal split ratio Energy saving ratio (%)2,20,0000.4831.92,40,0000.4631.42,60,0000.4830.92,80,0000.5230.43,00,0000.4329.93,20,0000.4429.43,40,0000.4629.03,60,0000.3928.53,80,0000.4028.14,00,0000.3627.76,00,0000.3824.08,00,0000.2721.310,00,0000.2819.212,00,0000.2517.614,00,0000.2616.3C.Park et al./Energy 44(2012)69e 7876。
石油工程测井复习资料双语
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一、名词概念1.Well logging:应用物理方法研究油气田钻井地质剖面和井的技术状况,寻找并监测油气层开发的一门应用技术。
2.Electrical logs:指以研究岩石及其孔隙流体的导电性、电化学性及介电性为基础的一大类测井方法。
3.Acoustic logs:通过研究声波在井下岩层和介质中的传播特性,从而了解岩层的地质特性和井的技术状况的一种测井方法。
4.Nuclear logs:根据岩石及其孔隙流体的核物理性质,研究钻井地质剖面,勘探石油、天然气、煤以及铀等有用矿藏的地球物理方法。
5.Production logs:监测油气田开发动态的主要技术手段,在我国生产测井泛指油气田投产后,整个生产过程中的井下一系列的地球物理观测。
6.Apparent resisitivity:测井仪器探测到的电阻率,受泥饼,侵入带等的影响,不等于真实的地层电阻率,只是其近视值,称为视电阻率。
7.Reservoir:埋藏在地下的含有石油和天然气的多孔岩层。
8.increased resistance invasion:当地层孔隙中原来含有的流体电阻率较低时,电阻率较高的钻井液滤液侵入后,侵入带岩石电阻率升高。
9.decreased resistance invasion:当地层孔隙中原来含有的流体电阻率比渗入地层的钻井液滤液电阻率高时,钻井液滤液侵入后,侵入带岩石电阻率降低。
10.Water-flooded zone:对注水开发的油田,若某一储层发现注入水,则称该层为水淹层。
11.Logging while drilling:在钻井的同时用安装在钻铤上的测井仪器测量地层电、声、核等物理性质,并将测量结果实时地传送到地面或部分存储在井下存储器中的一种技术。
12.Cycle skip:地层中天然气的存在,会使得声波的传播速度急剧降低,测得的声波时差值明显变大,即为“周波跳跃”现象。
13.Neutron life-time logging:通过获得地层中热中子的寿命和宏观俘获截面的一种特别适用于高矿化度地层水油田并且不受套管、油管限制的测井方法。
油气工程英语(English)
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油气工程英语UNIT 1Origin of Oil and Gas 石油和天然气的成因Oil and gas result mostly from dead microorganisms buried quickly in anoxic environments , where oxygen is so scarce that they do not decompose. This lack of oxygen enables them to maintain their hydrogen-carbon bonds , a necessary ingredient for the production of fossil fuels. Newly developing ocean basins ,formed by plate tectonics and continental rifting (deforrnation) , provide just the right conditions for rapid burial in anoxic waters. Rivers fill these basins with sediments carrying abundant organic remains. Because the basins have constricted water circulation ,they also have lower oxygen levels than the open ocean.石油和天然气大多是由缺氧环境下迅速被掩埋的死亡微生物生成的。
这种环境氧气奇缺致使这些微生物无法分解。
氧气的缺乏能够使那些死去的微生物保持他们的碳氢键——这是产生化石燃料的一种必要组分。
由板块构造运动和大陆裂谷作用(变形)而新近演化形成的大洋盆地,正好为在缺氧水域的快速埋藏提供了合适环境。
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中英文对照外文翻译文献(文档含英文原文和中文翻译)OIL UNDER ICE DETECTION: WHAT IS THE STATE-OF-THE-ART?Abstract. Since the exploration for oil and gas in the Canadian and US arctic commenced in the early 1970s, a need has been identified to develop technology to detect oil under ice. Both electromagnetic and acoustic sensors have been tried, but a practical field instrument has not been identified. Most proposed systems require that the equipment be operated from the ice surface in order to get adequate coupling and, for some systems, the snow must be removed from the ice. For many icesituations, surface access is difficult and poses a severe safety issue. Two recent spills in Alberta used “high technology” ice augers to detect the presence of oil under the ice. Some potential new techniques are discussed and the basic principles of their operation described. Keywords: arctic, oil spill response, oil in ice, detection1. IntroductionThe detection of oil under continuous ice cover has presented one of the most difficult challenges to the oil-spill technological community for the past two decades and there is still no operationally proven system available. Dickins (2000) under the sponsorship of the US Minerals Management Service conducted an excellent review of the status of oil-under-ice detection and this paper complements this review with a more detailed analysis of some systems. Dickins identified many false start concepts, which will not be discussed in this paper. In order to determine the design of a suitable oil-under-ice detector, the various situations under which oil may be found under a continuous ice sheet need to be considered.The oil must come from a sub-surface release since any surface release would either be on the ice surface or in a lead or other opening in the ice. Potential sources of sub-surface oil are a leak in a pipeline, the leakage from a submerged tank or vessel or a natural seep. Oil when trapped under ice does not spread rapidly or cover a large area due to naturalroughness of the ice-water interface (Rosenegger, 1975). The situation is analogous to oil spilled on land, rather than the more dynamic situation of oil on water. Unlike the oil-on-water situation, the probable location of the source of the oil can be well defined spatially, so the search for the oil is over a relatively small confined area. Depending on the time of year, the ice may just be forming, be in a rapid growth phase, be essentially static or in a break-up situation, so that the oil may be on the surface surrounded by ice floes, at the ice-water interface or in the sheet. In the first and last case, traditional remote sensing techniques can be used to detect the oil. When the oil is at the ice-water interface or incorporated in the ice sheet, new oil-under-ice detection systems are required. The basic mode of detection may be different for the two situations.2. Existing TechnologyThe signal associated with the detection of oil under ice may be due to dielectric or acoustic impedance difference between the oil and the ice, or by a change in the surface roughness of the oil-ice interface. The rougher the interface, the more the probing signal is scattered and hence the weaker the signal returned to the receiver. This is the basis, for example, of the detection of oil-on-water using radar. The interface roughness has been directly measured using a mould system deployed by divers (Goodman et al., 1987) and found to be rough at spatial scales of meters and roughness values of several. The oil released under ice fills theroughness features and generates a smooth inter the water, which can be detected using either acoustic or electromagnetic sensors.2.1. MECHANICAL SYSTEMSThe only proven and widely used technology is to drill a hole in the ice using an ice auger, a chain saw or similar mechanical system. While this is time consuming and is a single point measurement, it works. In order to increase the productivity of such units, they can be mounted on a small snow vehicle to increase their coverage, but consideration must be given to the additional safety concerns of using such equipmenton ice sheets of unknown thickness. Using hand-held systems, ice thicknesses greater than about a meter and a half are difficult.Some experiments (Dickins et al., 2005) have been conducted on the detection of the vapour from the oil that would permeate through the ice and be trapped on the surface. While this system worked well in the laboratory environment, it would be very difficult to implement in a typical cold weather environment. This system is very time consuming to install and the time for each measurement took several minutes. There is some evidence from field experiments that very little evaporation occurs under an ice sheet, so the presence of vapours in the laboratory experiment may well be an arte fact of the experimental situation .The electromagnetic band extends from long-wavelength radio waves to X-rays, and includes the visible band and radar. Various parts of theelectromagnetic spectrum had been tried for the detection of oil under ice, including low-frequency systems at about 100 kHz, various forms of radar from 100 to 1,000 MHz, and the visible band either directly or by detecting the fluorescence of the oil. While there is some variation of the dielectric constant with frequency, the values of Table 1 are typical. It is easy for electromagnetic radiation to be transmitted from the air to either the ice or the oil.The reflection at the oil-ice interface will be weak, but easily detected provided the sensor has an adequate dynamic range. There will be a strong reflection at the interface with the water. As with any sensing package, the spatial resolution depends on the wavelength (and pulse length for pulsed systems).There are a number of low-frequency electromagnetic systems, which use induction to detect surface and sub-surface anomalies .These systems typically operate at frequencies below 100 kHz (wavelengths of greater than 3,000 m). At these large wavelengths the spatial resolution is poor and while such systems have been proven useful for sea-ice thickness measurements, it is unlikely that this group of sensors would detect oil either in ice or at the ice-water interface (Kovacs et al., 1995)Ground penetrating radar (GPR) systems are routinely used to determine sub-surface structures and operate at frequencies between 300 and 1,000 MHz . In order to achieve good spatial resolution, most GPR systems usea high bandwidth antenna (low Q) and produce a short chirp signal (Moorcroft and Tunaley, 1985). Most of the currently available GPR systems are surface based and require good coupling between the unit antennae and the ice. Since such systems are routinely commercially available, they are very attractive to be used as an oil-under-ice detector. There have been a number of experiments, both in test basins and in the field to test the ability of these systems to uniquely detect oil-under-ice. The main problem is both signal strength and dynamic range, since, depending on the value of the dielectric constant of the oil, the reflected signal difference between oil and ice is 0.5–7% as opposed to the nearly 100% at the ice-water interface. Thus, the receiver must be sensitive to small variations in signal strength to see the oil-ice interface, while not being overloaded by the return from the water. Older systems lacked this. dynamic range and the ice-oil signal was masked by the water return. The electronics used by more recent designs have a better dynamic range, and Dickins et al. (2005) have recently used such a system to evaluate an oil-under-ice detection in a test basin using urea ice, and subsequently (Brandvik et al., 2006) in an experiment in the Norwegian Arctic. The test basin experiments used extensive signal analysis in order to identify the presence of oil under ice, which obscures what properties of the interface are actually being detected. The use of urea ice, whose electrical properties are different from natural ice, further complicates theinterpretation. The field data from 2006 is still being analyzed.For more than a decade, radio-echoing sounding systems operating in the same frequency band as the GPS have been used to measure glacier ice thickness from an airborne platform (Figure 7). These systems have a much narrower bandwidth and beam width than a typical GPS system, but offer the potential to remotely detect oil under ice. Since these systems have a much lower spatial resolution than the GPS, a larger area of oil-under-ice would be required for a reasonable test of the units’ capability. No such field studies have been undertaken.石油冰下检测:什么是最先进的?摘要:在二十世纪七十年代早期,石油和天然气勘探在加拿大和美国的北极开始需要被确认开发技术来检测油冰下。