Surrogate model for reservoir performance prediction with time-varying well control based on depth generative network
This paper proposes a novel intelligent method for defining and solving the reservoir performance prediction problem within a manifold space, fully considering geological uncertainty and the characteristics of reservoirs performance under time-varying well control conditions, creating a surrogate mo...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
KeAi Communications Co., Ltd.
2024-10-01
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| Serie: | Petroleum Exploration and Development |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S1876380425605416 |
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