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《Progress in Geophysics》 2017-02
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Oil and water layer identification method of Gaotaizi reservoirs in Qijiabei area

WAN Qiao-sheng;LI Xue-ying;ZHAO Yu-qiu;Yang yang;ZHANG Jian-feng;L Ya-juan;College of Earth Science,Northeast Petroleum University;Heilongjiang Oil and Gas Reservoir Forming Mechanism and Resource Evaluation Key Laboratory ( Northeast Petroleum University);No. 8 Oil Production Company,Daqing Oilfield company Ltd.;No. 9 Oil Production Company,Daqing Oilfield company Ltd.;  
The GTZ reservoirs in QJB area are tight reservoirs with high calcium content. The high content of calcium in reservoirs can lead to dramatic increase of resistivity in some of water layers. Then,water layer with high resistivity,oil-water layer and oil layer may share the similar characteristics on electric curves and electric distributions,making it hard to distinguish these layers based on electric characteristics. Aiming at the technical problems above,this paper proposes layer-stripped method based on a series of research on the ‘four properties' of these reservoirs. The core idea of this method is that extract dry layer,water layer and oil-water layer from others one by one according to the typical electric characteristics of different fluid types. That is,we can separate the dry layer from the production layers according to the electric characteristic of dry layer firstly,and then,we can separate the water layer especially the calcareous water layer from oil-water layer by water layer identification chart. Finally,the oil layer is separated from the oilwater layer by establishing the interpretation chart of oil layer. This method can reduce the interferences of dry layer and water layer especially the calcareous water layer in the interpretation of oil-water layer and oil layer, and then increase interpretation accuracy.Research results show that induction logging curves can reflect the content of low resistivity mobile water in the pore of tight reservoir and it is the sensitivity curve of calcareous water layer and oil-water layer interpretation. Multi-curve joint qualitative identification method combined with the interpretation chart,can improve the logging interpretation coincidence rate of oil and water layer. The accuracy of these interpretation chart established by this method is up to more than 90%. The logging interpretation coincidence rate reaches 100% in the back-to-back verification with 3 actual test wells.
【Fund】: 2016年国家级大学生创新创业训练计划项目(201610220009)资助
【CateGory Index】: P618.13
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