Optimization of Well Control during Gas Flooding Using the Deep-LSTM-Based Proxy Model: A Case Study in the Baoshaceng Reservoir, Tarim, China

Optimization of Well Control during Gas Flooding Using the Deep-LSTM-Based Proxy Model: A Case Study in the Baoshaceng Reservoir, Tarim, China

Gas flooding has proven to be a promising method of enhanced oil recovery (EOR) for mature water-flooding reservoirs. The determination of optimal well control parameters is an essential step for proper and economic development of underground hydrocarbon resources using gas injection. Generally, the...

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Bibliographic Details
Main Authors: Qihong Feng, Kuankuan Wu, Jiyuan Zhang, Sen Wang, Xianmin Zhang, Daiyu Zhou, An Zhao
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Energies
Subjects:
gas flooding
well control optimization
deep long short-term memory neural network
proxy model
Online Access:https://www.mdpi.com/1996-1073/15/7/2398

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https://www.mdpi.com/1996-1073/15/7/2398

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