Multi agent physics informed reinforcement learning for waterflooding optimization
Waterflooding optimization is a critical process for enhancing oil recovery in mature oil fields, where conventional approaches often rely on fixed injection rates over an extended period. However, this may not be the most efficient strategy due to reservoir heterogeneity and complexity. In this stu...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2025-03-01
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| Colecção: | Franklin Open |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2773186325000192 |
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