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

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

作者单位：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 CongoKey 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,ChinaState Key Laboratory of Petroleum Resources and Engineering in China University of Petroleum,Beijing,102249,ChinaState Key Laboratory of Petroleum Resources and Engineering in China University of Petroleum,Beijing,102249,ChinaKey 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

中文关键词：Heterogeneous reservoirArtificial intelligenceProduction prediction

英文关键词：Heterogeneous reservoirArtificial intelligenceProduction prediction

刊名：《能源地球科学（英文）》 2026 (4)

页码/页数：1-13,13

基金：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).

DOI：10.1016/j.engeos.2026.100576