Optimized long short-term memory (LSTM) network for performance prediction in unconventional reservoirs

Optimized long short-term memory (LSTM) network for performance prediction in unconventional reservoirs

Unconventional resources play an increasingly important role in the global energy supply. Performance prediction is crucial for adjusting development methods in unconventional reservoirs to ensure high production. However, daily production prediction of tight gas wells relies on many factors and com...

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Bibliographic Details
Main Authors:	Kaixuan Qiu, Jia Li, Da Chen
Format:	Article
Language:	English
Published:	Elsevier 2022-11-01
Series:	Energy Reports
Subjects:	Long short-term memory (LSTM) network Performance prediction Bayesian optimization Tight gas
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352484722025173

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