ISSN 1004-4140
CN 11-3017/P
Volume 25 Issue 3
Jun.  2016
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Article Contents
LIANG Guo-hua, HUANG Han-dong, LIU Fu-yi, FU Chao, LIN Zhong-yue, WANG Xiang-hao, YANG Ya-di, MIAO Yu-xin, SHEN Jin-song, ZHANG Xiao-chen. Prediction of the Sweet Spots within Shale Gas Reservoirs by Using Nonlinear Inversion of Seismic Data Acquired from Baojing Area Hunan Province[J]. CT Theory and Applications, 2016, 25(3): 299-310. DOI: 10.15953/j.1004-4140.2016.25.03.06
Citation: LIANG Guo-hua, HUANG Han-dong, LIU Fu-yi, FU Chao, LIN Zhong-yue, WANG Xiang-hao, YANG Ya-di, MIAO Yu-xin, SHEN Jin-song, ZHANG Xiao-chen. Prediction of the Sweet Spots within Shale Gas Reservoirs by Using Nonlinear Inversion of Seismic Data Acquired from Baojing Area Hunan Province[J]. CT Theory and Applications, 2016, 25(3): 299-310. DOI: 10.15953/j.1004-4140.2016.25.03.06

Prediction of the Sweet Spots within Shale Gas Reservoirs by Using Nonlinear Inversion of Seismic Data Acquired from Baojing Area Hunan Province

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  • Received Date: February 23, 2016
  • Available Online: December 01, 2022
  • Published Date: June 24, 2016
  • Facing the difficulties of various near surface formations in Baojing area, Hunan province, and significant tilt of the subsurface formation and structure, and hence caused low signal/noise ration of the seismic data, and the low contrast of seismic impedance between the shale gas reservoir and the shoulder shale, we have investigated integrated evaluation method that consists of four steps of sensitive well logs reconstruction and optimal processing, nonlinear inversion of seismic data constrained with sedimentary facies, and fluid detection by using poststack seismic data. Comparison of the seismic inversion results and fluid detection results of several inlines with that of the borehole shows sound consistency, and verified the effectiveness and practical usefulness of our method.
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