Efficient deep-learning-based history matching for fluvial channel reservoirs

被引：0
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作者：
Jo, Suryeom [1 ]
Jeong, Hoonyoung [2 ,3 ,4 ]
Min, Baehyun [5 ]
Park, Changhyup [6 ]
Kim, Yeungju [2 ]
Kwon, Seoyoon [5 ]
Sun, Alexander [7 ]
机构：
[1] Geo-ICT Convergence Research Team, Korea Institute of Geoscience and Mineral Resources, Daejeon,34132, Korea, Republic of
[2] Department of Energy Systems Engineering, Seoul National University, Seoul,08826, Korea, Republic of
[3] Research Institute of Energy and Resources, Seoul National University, Seoul,08826, Korea, Republic of
[4] Institute of Engineering Research, Seoul National University, Seoul,08826, Korea, Republic of
[5] Department of Climate and Energy Systems Engineering, Ewha Womans University, Seoul,03760, Korea, Republic of
[6] Department of Energy and Resources Engineering, Kangwon National University, Chuncheon,Kangwon,24341, Korea, Republic of
[7] Bureau of Economic Geology, Jackson School of Geosciences, University of Texas at Austin, Austin,TX,78758, United States
来源：
Journal of Petroleum Science and Engineering | 2022年 / 208卷
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