Fast Optimization of Injector Selection for Waterflood, CO<sub>2</sub>-EOR and Storage Using an Innovative Machine Learning Framework
Optimal injector selection is a key oilfield development endeavor that can be computationally costly. Methods proposed in the literature to reduce the number of function evaluations are often designed for pattern level analysis and do not scale easily to full field analysis. These methods are rarely...
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| Auteurs principaux: | , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
MDPI AG
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/4dc48245a16b45718cc048a38c2bb1b3 |
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