文献
J-GLOBAL ID:202202233487943892
整理番号:22A0624422
水攻法貯留層生産最適化のための迅速な知的多忠実度代理支援多目的最適化法【JST・京大機械翻訳】
A rapid intelligent multi-fidelity surrogate-assisted multi-objective optimization method for water-flooding reservoir production optimization
著者 (6件):
Wang Lian
(State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, China)
,
Yao Yuedong
(State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, China)
,
Zhang Tao
(State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan, China)
,
Adenutsi Caspar Daniel
(Reservoir Simulation Laboratory, Department of Petroleum Engineering, Faculty of Civil and Geo-Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana)
,
Zhao Guoxiang
(State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, China)
,
Lai Fengpeng
(School of Energy Resources, China University of Geosciences, Beijing, China)
資料名:
Arabian Journal of Geosciences
(Arabian Journal of Geosciences)
巻:
15
号:
3
ページ:
262
発行年:
2022年
JST資料番号:
W4050A
ISSN:
1866-7511
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)