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Prediction of Shale Gas Pressure based on Multi-channel Seismic Inversion in Fuling
投稿时间:2021-01-09  修订日期:2021-05-21  点此下载全文
引用本文:XING Lei,LI Yu,LI Qianqian,LIU Yaowen,WAN Yunqiang,YANG Huiliang.2022.Prediction of Shale Gas Pressure based on Multi-channel Seismic Inversion in Fuling[J].ACTA GEOLOGICA SINICA(English edition),96(4):1237~1245
摘要点击次数: 88
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DOI:10.1111/1755-6724.14778
作者单位E-mail
XING Lei 1 Key Laboratory of Submarine Geosciences and Prospecting Techniques, Ministry of Education, Ocean University of China, Qingdao, Shandong 266100, China 2 Evaluation and Detection Technology Laboratory of Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao, Shandong 266237, China  
LI Yu 1 Key Laboratory of Submarine Geosciences and Prospecting Techniques, Ministry of Education, Ocean University of China, Qingdao, Shandong 266100, China  
LI Qianqian 1 Key Laboratory of Submarine Geosciences and Prospecting Techniques, Ministry of Education, Ocean University of China, Qingdao, Shandong 266100, China  
LIU Yaowen 3 Sinopec Chongqing Fuling Shale Gas Exploration and Development Co. Ltd., Lidu New District Shale Gas Base, Fuling District, Chongqing 408000, China  
WAN Yunqiang 3 Sinopec Chongqing Fuling Shale Gas Exploration and Development Co. Ltd., Lidu New District Shale Gas Base, Fuling District, Chongqing 408000, China  
YANG Huiliang 2 Evaluation and Detection Technology Laboratory of Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao, Shandong 266237, China 4 Yantai Coastal Zone Geological Survey Center, Chinese Geological Survey, Yantai, Shandong 264011, China yhuiliang@mail.cgs.gov.cn 
 
Author NameAffiliationE-mail
XING Lei 1 Key Laboratory of Submarine Geosciences and Prospecting Techniques, Ministry of Education, Ocean University of China, Qingdao, Shandong 266100, China 2 Evaluation and Detection Technology Laboratory of Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao, Shandong 266237, China  
LI Yu 1 Key Laboratory of Submarine Geosciences and Prospecting Techniques, Ministry of Education, Ocean University of China, Qingdao, Shandong 266100, China  
LI Qianqian 1 Key Laboratory of Submarine Geosciences and Prospecting Techniques, Ministry of Education, Ocean University of China, Qingdao, Shandong 266100, China  
LIU Yaowen 3 Sinopec Chongqing Fuling Shale Gas Exploration and Development Co. Ltd., Lidu New District Shale Gas Base, Fuling District, Chongqing 408000, China  
WAN Yunqiang 3 Sinopec Chongqing Fuling Shale Gas Exploration and Development Co. Ltd., Lidu New District Shale Gas Base, Fuling District, Chongqing 408000, China  
YANG Huiliang 2 Evaluation and Detection Technology Laboratory of Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao, Shandong 266237, China 4 Yantai Coastal Zone Geological Survey Center, Chinese Geological Survey, Yantai, Shandong 264011, China yhuiliang@mail.cgs.gov.cn 
Abstract:The accurate prediction of formation pressure is important in oil/gas exploration and development. However, the achievement of this goal remains challenging, due to insufficient logging data and the low predictive data accuracy from seismic data. In this work, a case study was carried out in the Baima area of Wulong, in order to develop a workflow for accurately predicting shale gas formation pressure. The multi-channel stack method was first used, as well as the inversion of single-channel seismic data, to construct velocity and density models of the formation. Combined with the existing well-logging data, the velocity and density models of the whole well section were established. The shale gas formation pressure was then estimated using the Eaton method. The results show that the multi-channel seismic stacking method has a higher accuracy than the inversion of the formation velocity obtained by the single-channel seismic method. The discrepancies between our predicted formation pressure and the actual formation pressure measurement are within an acceptable range, indicating that our workflow is effective.
keywords:seismic stack, shale gas, pressure prediction, precision, multi-channel
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