2022
DOI: 10.48550/arxiv.2207.10376
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Multi-Asset Closed-Loop Reservoir Management Using Deep Reinforcement Learning

Abstract: Closed-loop reservoir management (CLRM), in which history matching and production optimization are performed multiple times over the life of an asset, can provide significant improvement in the specified objective. These procedures are computationally expensive due to the large number of flow simulations required for data assimilation and optimization. Existing CLRM procedures are applied asset by asset, without utilizing information that could be useful over a range assets. Here, we develop a CLRM framework f… Show more

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References 39 publications
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