An interpretable attention-guided generative adversarial network framework with dual-domain learning for multi-condition constrained sedimentary facies modelingOA
An interpretable attention-guided generative adversarial network framework with dual-domain learning for multi-condition constrained sedimentary facies modeling
Lei Liu;Jia-Gen Hou;Wei Li;Jian Gao;Da-Li Yue;De-Gang Wu;Wu-Rong Wang;Jin Lin;Zhi-Bo Li;Qian Zhong
Hainan Institute of China University of Petroleum,Sanya,572025,Hainan,China||State Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum(Beijing),Beijing,102249,China||College of Geosciences,China University of Petroleum,Beijing,102249,China||College of Artificial Intelligence,China University of Petroleum,Beijing,102249,ChinaState Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum(Beijing),Beijing,102249,China||College of Geosciences,China University of Petroleum,Beijing,102249,China||College of Artificial Intelligence,China University of Petroleum,Beijing,102249,ChinaHainan Institute of China University of Petroleum,Sanya,572025,Hainan,China||State Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum(Beijing),Beijing,102249,China||College of Geosciences,China University of Petroleum,Beijing,102249,ChinaCNPC Science and Technology Research Institute Co.,Ltd.,Beijing,100083,ChinaHainan Institute of China University of Petroleum,Sanya,572025,Hainan,China||State Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum(Beijing),Beijing,102249,China||College of Geosciences,China University of Petroleum,Beijing,102249,China||College of Artificial Intelligence,China University of Petroleum,Beijing,102249,ChinaHainan Institute of China University of Petroleum,Sanya,572025,Hainan,China||State Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum(Beijing),Beijing,102249,China||College of Geosciences,China University of Petroleum,Beijing,102249,China||College of Artificial Intelligence,China University of Petroleum,Beijing,102249,ChinaHainan Institute of China University of Petroleum,Sanya,572025,Hainan,China||State Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum(Beijing),Beijing,102249,China||College of Geosciences,China University of Petroleum,Beijing,102249,ChinaHainan Institute of China University of Petroleum,Sanya,572025,Hainan,China||State Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum(Beijing),Beijing,102249,China||College of Geosciences,China University of Petroleum,Beijing,102249,ChinaHainan Institute of China University of Petroleum,Sanya,572025,Hainan,China||State Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum(Beijing),Beijing,102249,China||College of Geosciences,China University of Petroleum,Beijing,102249,China||College of Artificial Intelligence,China University of Petroleum,Beijing,102249,ChinaHainan Institute of China University of Petroleum,Sanya,572025,Hainan,China||State Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum(Beijing),Beijing,102249,China
Sedimentary facies modelsAttention-guided generative adversarial networkInterpretable frameworkSedimentary patternsMulti-condition modeling
Sedimentary facies modelsAttention-guided generative adversarial networkInterpretable frameworkSedimentary patternsMulti-condition modeling
《石油科学（英文版）》 2026 (4)
1754-1772,19
This work was supported by National Science and Technology Major Project"CO2 Flooding for Significantly Enhancing Recovery Rate and Long-Term Sequestration Technology"(No.2024ZD1406601),National Natural Science Foundation of China(Nos.42272186,42472179,42302128,42202109),Frontier Interdis-ciplinary Exploration Research Program of China University of Petroleum,Beijing(No.2462024XKQY003),and Science Foundation of China University of Petroleum(Beijing)(Nos.2462023BJRC024,and 2462023YJRC039).
评论