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首页|期刊导航|石油科学（英文版）|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

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

石油科学（英文版）2026，Vol.23Issue(7)：3834-3853,20.
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石油科学（英文版）2026，Vol.23Issue(7)：3834-3853,20.DOI:10.1016/j.petsci.2026.05.004

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

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 1Lian-Bo Zeng 1Shao-Qun Dong 2Xue-Qun Tan 3Ji-Bo Ren 4Hong-Tao Li 3Zi-Yi Yang 4Shi-Qiang Liu 4Zhen Wang4

作者信息

  • 1. 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,China
  • 2. State 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,China
  • 3. Petroleum Exploration and Production Research Institute,SINOPEC,Beijing,102206,China
  • 4. 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,China
  • 折叠

摘要

关键词

Fracture identification/Tight reservoirs/Full waveform sonic logs/Conventional logs/Deep learning

Key words

Fracture identification/Tight reservoirs/Full waveform sonic logs/Conventional logs/Deep learning

引用本文复制引用

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..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[J].石油科学（英文版）,2026,23(7):3834-3853,20.

基金项目

This work was financially supported by the National Natural Science Foundation of China(No.42002134). （No.42002134）

石油科学（英文版）

1672-5107

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