Stratimagic地震相分析软件

The Stratimagic Solution
Seismic Facies Classification and Analysis Solution for Reservoir Characterization
Stratimagic products
Stratimagic ------ 3D地震相分析
Average Amplitude Regional Facies map Channel Facies map Multi-volume Facies map
THE
SeisFacies incorporates technologies and methods developed by ENI AGIP DIVISION
Recalculating on an area of interest 重新计算关心的区域
• To reveal more detail in the channel, we could increase the number of classes. However, it is more efficient to process a new interval restricted to the prospective area.
SeisFacies™
Classification Calibration
Fusion
3D SEISMIC TRACE CLASSIFICATION
3D地震道的分类 MULTIATTRIBUTE MAPS CLASSIFICATION 多属性图的分类 MULTIATTRIBUTETHE BLOCK CLASSIFICATION 多属性数据体的分类
Integration with VoxelGeo
• Viewing and manipulation of Stratimagic data in VoxelGeo with no workflow disruptions
– Seismic and facies volumes (SeisFacies) – Seismic facies and attribute maps
Coherency
多域的统计分析技 术，找出多属性数 据的共同趋势，从 而减少参与相划分 的数据量以及用最 具有代表性的数据 参与划分。
PCA Components
PCA 2
THE
PCA 1 PCA 1 PCA 2
SeisFacies incorporates technologies and methods developed by ENI AGIP DIVISION
Stratimagic独特的技术特点
基于地震资料的地震相及地震微相划分
Well 2
目前Stratimagic技术 在“利用地震相分析 ，解释岩性，储层预 测”方面仍处在业界 的领先水平。
Well 4
Channel Classes 6-9
利用地震道形状即波形特征对某一层间 (Interval) 内的实际地震数据道进行逐道 对比，细致刻画地震信号的横向变化，从而得到地震异常平面分布规律即地震相 图
Stratimagic: 独特的解决方案——地震相分析
Seismic Facies Neural Network Technology (NNT)
Seismic Facies Map
一种方法：成功地应用了7年，可用 于勘探评价和油藏研究，碎屑岩和 碳酸岩，煤或气，陆上和海上。
This Neural Network Technology is licensed from TotalFina Elf
About Stratimagic
Wet
Gas
Stratimagic 运用人工神经网络、 PCA、以及层位尖灭识别等先进的技术和方 法对地震属性及所反映的地质特征进行分析解释，可以实现地震道、多属性数据体 以及变时窗/等时窗层段内的地震相自动划分以及与岩石物性的关系。
Stratimagic: 独特的解决方案——地震相分析
What are Basic Neural Networks?
Signal Flow: Input
Dendrites
Output
Synapse
Synapses
Cell Body
Axon
OUTPUT TRACES INPUT SEISMIC INTERVAL
通过自组织的神经网络计算，首先得到模型道，这些模型道代表了在 地震层段中整个区域内的地震信号形状的多样性。一个工业化的形状 识别处理，它稳定，不受噪音和假同相轴的影响
StratQC ---------- 构造成图 NexModel -------- 岩石物性分析 VoxelGeo
---------- 3D 可视化解释
SeisFacies -------- 3D地震相分析
★New module
Stratimagic软件包包括 Nexmodel以及最新发展的 Seisfacies以其独一无二的专 利技术和容易使用的特点，已成为石油天然气工业进行地震相分析的先进的商用 软件。
Stratimagic
地震相分析软件
The fast track to a truly geological understanding of seismic data.
地震资料的真正地质理解的快速轨道
专门用于解释岩性，地层，油藏，地质相对比的新的地震解释技术
Stratimagic incorporates the SISMAGE?technologies developed by Elf Aquitaine
SeisFacies™
Seismic Facies Analysis
Characterize turbidite systems
Turbidite internal geometry and depositional patterns
Goal: Define Geological Structures and Sand Bodies High-grade Potential Prospects
Channel Classes 6-9
Well 4
Trace Shape Analysis on Channel
Interval Trace Shape Analysis on Top System –4 +44 ms
Well 2 Normal Faults
Seismic Near Classified with Neural Network Technology 12 Classes
– Wells (boreholes, tops, logs)
•
VoxelGeo > Stratimagic
The powerful VoxelGeo – Stratimagic combination makes it possible to analyze the results of the facies in 3D space for better-informed well planning decisions
All detected bodies with 6-way connectivity
2 Main Connected Bodies
Interactive display of main detected bodies with 6-way connectivity
Trace Shape Classification with Spectral Decomposition - Example
一种处理： 基于道形状的特征描述
沉积地层的任何物性参数的变化总是反映在地震道波形形状的变化上 。Stratimgic的分类处理就是将地震数据样点值的变化转换成地震道形状 的变化，道形状分类代表了地震信号的真实的横向异常。
Now what do you see ???
Are these the same shape?
Stratimagic: 独特的解决方案——地震相分析
地震特征描述的现状
• Attributies Analysis/地震相 地震属性分析方法 – 所提取属性种类不断增加（20，50种，更多？） – 用户选择属性 – 缺少合适的方法对多种属性解释—地质意义不明确。 •
Well Calibration and Inversion 地震的井标定和反演 – – – – 外推估算地震信号的横向变化通常是困难的 需要先验的初始模型 花费和计算吞吐量仍是系统化工业化应用的障碍 先验约束往往出现误差
Trace shape classification Trace shape classification Spectrally Decomposed
Stratimagic独特的技术特点
基于地震资料的地震相及地震微相划分
-20,000 14,000 I m p e d 8,000 a n
-90 Cero +90
Stratimagic独特的技术特点
基于地震资料的地震相及地震微相划分
Top System (blue)
Well Well Well 2 22 Well 2 Top System - Structural Map • Orthogonal Fault system in NE–SW direction and NW-SE directions Well Well Well 4 444 Well Horizon Slices on Top System • -4, +8, +16, +24, +32, +44 ms N
Well 4
Three major families of seismic facies
沿层或层间提取多种属性， 作为岩性，地层，油藏解释的辅助手段
•
沿层或层间提取14大类30多种属性，得 到属性平面图，作为描述岩性变化等辅 助特性。
Well bore and uncertainty ellipses from Sysdrill DirectorGeo™
3D Visualisation in VoxelGeo
Classified Volume in 3D visualisation
Subvolume Detection Class 5
· 提供地震层位振幅切 片等工具作为准确确定 有利的地震层间的手段 。
地震属性拾取
相干体分析
常规地震属性和多地震道几何属性强化地震影像的非连续性特征， 因此对识别地质体的构造特征（如断层）、地层边界、河道和地质体的几何样式十分有效。
15 Hz.
25 Hz.
35 Hwk.baidu.com.
45 Hz.
Sample Spectral Decomposition Bands
00
Amplitude
20,000
A
B
4200 4600 Accoustic Impedence
AI and Azimuth Class Histograms
Azimuth
提供相关曲线分析等工具作为判别分类是否合适的手段。
Stratimagic独特的技术特点
将地震相结果与井信息匹配进一步细分地震相
SeisFacies incorporates technologies and methods developed by ENI AGIP DIVISION
SeisFacies™
Input Seismic Volumes
主组分分析技术
Impedance Amplitude
Impedance
Amplitude Coherency
Top System Trace Shape Analysis
Interval Trace Shape Analysis on Top System –4 +44 ms
Well 2
Seismic Near Classified with Neural Network Technology 12 Classes
SeisFacies incorporates technologies and methods developed by ENI AGIP DIVISION
SeisFacies™
SUBMARINE CHANNEL
Channel Recognition using Trace Shape Classification applied on multi-3D Seismic attributes