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Quantitative Classification and Logging Identification Method for Diagenetic Facies of Tight Sandstones (Vol.34, No.1) TEXT SIZE: A A A

LAI Jin1, WANG Gui-wen1,2*, HUANG Long-xing3, GUAN Bin4, JIANG Chen5, RAN Ye1, ZHANG Xiao-tao1, LI Mei1, WANG Di1

1. College of Geosciences, China University of Petroleum(Beijing), Beijing 102249, China;
2. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum(Beijing), Beijing 102249, China;
3. International Department of China Petroleum Logging Co. Ltd., Beijing 102206, China;
4. Shaanxi Yanchang Petroleum (Group) Corp. Ltd., Yan'an Shaanxi 716000, China;
5. East-China Company of Sinopec. Unconventional Resources Exploration and Development Center, Linfen Shanxi 042100, China

Abstract: This paper studied petrology, reservoir property and pore structure, types and intensity of diagenesis of the Chang 8 oil layer in the Yanchang Formation using techniques of normal thin section, casting thin section, cathode luminescence, scanning electron microscope analysis and mercury injection. On the basis of quantitative calculation of apparent compaction rate, apparent cementation rate and apparent dissolution rate, the diagenetic facie were classified and named according to diagenesis intensities and their combinations. The results showed that the reservoirs can be divided into four diagenetic facies, compaction-cementation and medium dissolusion facie, strong compaction-cementation and weak dissolution facie, medium compaction-cementation and weak dissolution facie, and strong compaction and weak cementation-dissolution facie. The diagenetic integrated coefficient was selected as the quantitative parameter to determine different diagenetic facies. Well-logging curves, such as, acoustic travel-time differences, density, which are sensitive to diagenetic facie were selected to build logging recognition standard of apparent compaction rate, apparent dissolution and apparent cementation rate through core to log correlation. The well log data (Chi-46 etc. ) were processed to test and to verify the accuracy of the model.

Keywords: diagenetic facies quantitative evaluation logging recognition reservoir Erdos Basin

*Corresponding Author, E-Mail: wanggw@cup.edu.cn

Bulletin of Mineralogy, Petrology and Geochemistry Vol. 34, No.1, 2015, page 128-138


 

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