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Research on productivity prediction method of infilling well based on improved LSTM neural network: A case study of the middle-deep shale gas in South Sichuan
- “In the field of shale gas development in the middle and deep layers of southern Sichuan, experts have used the grey wolf optimization algorithm to optimize the long short-term memory neural network model, providing a new method for predicting the production capacity of encrypted wells.”
- Vol. 15, Issue 3, Pages: 479-487(2025)
Received:27 June 2024,
Published:26 June 2025
DOI: 10.13809/j.cnki.cn32-1825/te.2025.03.015
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