A novel self-adaptive multi-fidelity surrogate-assisted multi-objective evolutionary algorithm for simulation-based production optimization

被引：0
|
作者：
Wang, Lian [1 ]
Yao, Yuedong [1 ]
Zhang, Tao [2 ]
Adenutsi, Caspar Daniel [3 ]
Zhao, Guoxiang [1 ]
Lai, Fengpeng [4 ]
机构：
[1] State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing,102249, China
[2] State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu,Sichuan,610500, China
[3] Reservoir Simulation Laboratory, Department of Petroleum Engineering, Faculty of Civil and Geo-Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
[4] School of Energy Resources, China University of Geosciences, Beijing,100083, China
来源：
Journal of Petroleum Science and Engineering | 2022年 / 211卷
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摘要：
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