Training effective deep reinforcement learning agents for real-time life-cycle production optimization

Volume: 208, Pages: 109766 - 109766
Published: Jan 1, 2022
Abstract
Life-cycle production optimization aims to obtain the optimal well control scheme at each time control step to maximize financial profit and hydrocarbon production. However, searching for the optimal policy under the limited number of simulation evaluations is a challenging task. In this paper, a novel production optimization method is presented, which maximizes the net present value (NPV) over the entire life-cycle and achieves real-time well...
Paper Details
Title
Training effective deep reinforcement learning agents for real-time life-cycle production optimization
Published Date
Jan 1, 2022
Volume
208
Pages
109766 - 109766
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