Multivariate data-driven fracture identification and distribution pattern in tight sandstone reservoirs using an improved CNN-Attention-BiLSTM:A case study of the Permian Lower Shihezi Formation in the Hangjinqi area,Ordos Basin,ChinaOA
Multivariate data-driven fracture identification and distribution pattern in tight sandstone reservoirs using an improved CNN-Attention-BiLSTM:A case study of the Permian Lower Shihezi Formation in the Hangjinqi area,Ordos Basin,China
Bao-Yu Liang;Lian-Bo Zeng;Shao-Qun Dong;Xue-Qun Tan;Ji-Bo Ren;Hong-Tao Li;Zi-Yi Yang;Shi-Qiang Liu;Zhen Wang
Hainan Institute of China University of Petroleum(Beijing),Sanya,572024,Hainan,China||College of Geosciences,China University of Petroleum(Beijing),Beijing,102249,China||State Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum(Beijing),Beijing,102249,ChinaHainan Institute of China University of Petroleum(Beijing),Sanya,572024,Hainan,China||College of Geosciences,China University of Petroleum(Beijing),Beijing,102249,China||State Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum(Beijing),Beijing,102249,ChinaState Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum(Beijing),Beijing,102249,China||College of Science,China University of Petroleum(Beijing),Beijing,102249,ChinaPetroleum Exploration and Production Research Institute,SINOPEC,Beijing,102206,ChinaCollege of Geosciences,China University of Petroleum(Beijing),Beijing,102249,China||State Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum(Beijing),Beijing,102249,ChinaPetroleum Exploration and Production Research Institute,SINOPEC,Beijing,102206,ChinaCollege of Geosciences,China University of Petroleum(Beijing),Beijing,102249,China||State Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum(Beijing),Beijing,102249,ChinaCollege of Geosciences,China University of Petroleum(Beijing),Beijing,102249,China||State Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum(Beijing),Beijing,102249,ChinaCollege of Geosciences,China University of Petroleum(Beijing),Beijing,102249,China||State Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum(Beijing),Beijing,102249,China
Fracture identificationTight reservoirsFull waveform sonic logsConventional logsDeep learning
Fracture identificationTight reservoirsFull waveform sonic logsConventional logsDeep learning
《石油科学（英文版）》 2026 (7)
3834-3853,20
This work was financially supported by the National Natural Science Foundation of China(No.42002134).
评论