Artificial intelligence in petroleum and natural gas prospect evaluation and predictionOA
Artificial intelligence in petroleum and natural gas prospect evaluation and prediction
Qiao-Chu Wang;Dong-Xia Chen;Sha Li;Yu-He Chen;Xiang Chen;Mao-Sen Wang;Zai-Quan Yang;Fu-Wei Wang
State Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum(Beijing),Beijing,102249,China||College of Geosciences,China University of Petroleum(Beijing),Beijing,102249,ChinaState Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum(Beijing),Beijing,102249,China||College of Geosciences,China University of Petroleum(Beijing),Beijing,102249,ChinaState Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum(Beijing),Beijing,102249,China||College of Geosciences,China University of Petroleum(Beijing),Beijing,102249,ChinaState Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum(Beijing),Beijing,102249,China||College of Geosciences,China University of Petroleum(Beijing),Beijing,102249,ChinaState Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum(Beijing),Beijing,102249,China||College of Geosciences,China University of Petroleum(Beijing),Beijing,102249,ChinaState Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum(Beijing),Beijing,102249,China||College of Geosciences,China University of Petroleum(Beijing),Beijing,102249,ChinaState Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum(Beijing),Beijing,102249,China||College of Geosciences,China University of Petroleum(Beijing),Beijing,102249,ChinaState Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum(Beijing),Beijing,102249,China||College of Geosciences,China University of Petroleum(Beijing),Beijing,102249,China
Artificial intelligenceMachine learningDeep learningPetroleum prospectGeological faciesPetroleum exploration and exploitation
Artificial intelligenceMachine learningDeep learningPetroleum prospectGeological faciesPetroleum exploration and exploitation
《石油科学（英文版）》 2026 (6)
3110-3135,26
This study was supported by the National Natural Science Foundation of China(Grant No.42302141).We gratefully acknowledge the Shengli Oilfield Branch of the China Petroleum &Chemical Corporation for providing field test data and reservoir data.
评论