A rapid intelligent multi-fidelity surrogate-assisted multi-objective optimization method for water-flooding reservoir production optimization
Author:
Funder
National Basic Research Program of China
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s12517-022-09575-5.pdf
Reference48 articles.
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3. Chen G, Zhang K, Zhang L et al (2020) Global and local surrogate-model-assisted differential evolution for waterflooding production optimization. SPE Journal 25(1):105–118
4. Deb K, Pratap A, Agarwal S, Meyarivan TAMT (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE transactions on evolutionary computation 6(2):182–197
5. Ding S, Lu R, Xi Y et al (2021) Optimizing vertical and deviated wells based on advanced initialization using new productivity potential map. Journal of Petroleum Science and Engineering 198:108263
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