OIL VISCOSITY PREDICTION
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专利名称：OIL VISCOSITY PREDICTION
发明人：Magadelna Traico Sandor,Songhua
Chen,Yuesheng Chen
申请号：US15300470
申请日：20151201
公开号：US20180017699A1
公开日：
20180118
专利内容由知识产权出版社提供
专利附图：
摘要：Various embodiments include a method for determining a viscosity for heavy oil in a formation by obtaining viscosity data and nuclear magnetic resonance (NMR)
relaxation time distribution data for a plurality of oil samples. A correlation is determined
between a set of viscosity data for the plurality of oil samples and an NMR relaxation time geometric mean for the plurality of oil samples. An NMR relaxation time geometric mean intrinsic value is determined based on the correlation, apparent hydrogen index, and T. Electromagnetic energy may then be transmitted into a formation and NMR relaxation time distributions determined for oil in the formation based on secondary electromagnetic field responses associated with the electromagnetic energy. A viscosity of the oil in the formation may then be determined based a correlation between the set of viscosity data and the NMR relaxation time geometric mean intrinsic value of the distribution data.
申请人：Halliburton Energy Services, Inc.
地址：Houston TX US
国籍：US
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