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基于主成分分析法的N油田M油组储层岩性识别
引用本文:宋延杰,刘鹏奇,阎伟林.基于主成分分析法的N油田M油组储层岩性识别[J].黑龙江科技学院学报,2013(2):173-175,195.
作者姓名:宋延杰  刘鹏奇  阎伟林
作者单位:[1]东北石油大学非常规油气成藏与开发省部共建国家重点实验室培育基地,黑龙江大庆163318 [2]大庆油田有限责任公司勘探开发研究院,黑龙江大庆163712
摘    要:N油田M油组岩性复杂,岩石类型众多,其储层普遍含碳酸钙组分和泥质,运用常规方法识别岩性结果难以满足实际生产需要。针对这一问题,提出基于主成分分析法的岩性识别方法。首先对岩性进行归类,研究不同岩石类型的测井响应特征,优选对岩性变化反映敏感的声波时差、补偿中子等曲线,然后利用主成分分析法确定岩性,识别主成分并制作识别图版。运用该图版对研究区进行岩性识别,识别符合率达到87.5%,证明该方法的应用效果较好。

关 键 词:主成分分析法  岩性识别  碳酸盐储层  测井响应

Lithology identification of M group of N oilfield based on principal component analysis method
SONG Yanjie,LIU Pengqi,YAN Weilin.Lithology identification of M group of N oilfield based on principal component analysis method[J].Journal of Heilongjiang Institute of Science and Technology,2013(2):173-175,195.
Authors:SONG Yanjie  LIU Pengqi  YAN Weilin
Institution:1. Accumulation & Development of Unconventional Oil & Gas, State Key Laboratory Cultivation Base Jointly-constru- cted by Heilongjiang Province & the Ministry of Science & Technology, Northeast Petroleum University, Daqing 163318, China; 2. Daqing Oilfield Exploration & Development Institute, Daqing 163712, China)
Abstract:This paper is a response to conventional lithology identification method which fails to meet the actual needs of production when it is applied to identify complex lithology of Nanyishan M group and too many types of rocks, and reservoir generally containing calcium carbonate component and mud. The paper proposes the lithology identification method based on principal component analysis. The method be- gins with classifying the lithology, investigating logging response characteristics of different rock types, and optimizing acoustic time sensitive to the lithology variation, and compensated neutron curve, and pro- ceeds with determining lithology by using principal component analysis, recognizing principal component and producing identification chart. The chart applied to identify lithology of the study area features an i- dentification coincidence rate of up to 87.5%, and affords a better effect.
Keywords:principal component analysis  lithology  carbonate reservoir  logging response
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