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Recent advances in AI-driven production prediction for highly heterogeneous reservoirs:A comprehensive review

Harold Paulin Kavuba Zhengbin Wu Shu Jiang Xiaohu Dong Mbula Ngoy Nadège

能源地球科学(英文)2026,Vol.7Issue(4):1-13,13.
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能源地球科学(英文)2026,Vol.7Issue(4):1-13,13.DOI:10.1016/j.engeos.2026.100576

Recent advances in AI-driven production prediction for highly heterogeneous reservoirs:A comprehensive review

Recent advances in AI-driven production prediction for highly heterogeneous reservoirs:A comprehensive review

Harold Paulin Kavuba 1Zhengbin Wu 2Shu Jiang 3Xiaohu Dong 3Mbula Ngoy Nadège4

作者信息

  • 1. Key Laboratory of Shale Gas Exploration,Ministry of Natural Resources(Chongqing Institute of Geology and Mineral Resources),Chongqing,401120,China||Key Laboratory of Theory and Technology of Petroleum Exploration and Development in Hubei Province,China University of Geosciences,Wuhan,Hubei,430074,China||Faculty of Oil,Gas and Renewable Energy,Department of Exploration-Production,University of Kinshasa,B.P.127,Kinshasa Ⅺ,Democratic Republic of the Congo
  • 2. Key Laboratory of Shale Gas Exploration,Ministry of Natural Resources(Chongqing Institute of Geology and Mineral Resources),Chongqing,401120,China||Key Laboratory of Theory and Technology of Petroleum Exploration and Development in Hubei Province,China University of Geosciences,Wuhan,Hubei,430074,China
  • 3. State Key Laboratory of Petroleum Resources and Engineering in China University of Petroleum,Beijing,102249,China
  • 4. Key Laboratory of Theory and Technology of Petroleum Exploration and Development in Hubei Province,China University of Geosciences,Wuhan,Hubei,430074,China||Faculty of Oil,Gas and Renewable Energy,Department of Exploration-Production,University of Kinshasa,B.P.127,Kinshasa Ⅺ,Democratic Republic of the Congo
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摘要

关键词

Heterogeneous reservoir/Artificial intelligence/Production prediction

Key words

Heterogeneous reservoir/Artificial intelligence/Production prediction

引用本文复制引用

Harold Paulin Kavuba,Zhengbin Wu,Shu Jiang,Xiaohu Dong,Mbula Ngoy Nadège..Recent advances in AI-driven production prediction for highly heterogeneous reservoirs:A comprehensive review[J].能源地球科学(英文),2026,7(4):1-13,13.

基金项目

The work was funded by the National Natural Science Foun-dation of China(No.52404046),the National Key Basic R&D Pro-gram(2022YFF0801200),the Natural Science Foundation of Hubei Province(2024AFD385),and the Open Fund of Key Laboratory of Shale Gas Exploration,Ministry of Natural Resources(No.KLSGE-202402). (No.52404046)

能源地球科学(英文)

2666-7592

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