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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Detalhes bibliográficos

Principais autores:	Kaixuan Qiu, Jia Li, Da Chen
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2022-11-01
coleção:	Energy Reports
Assuntos:	Long short-term memory (LSTM) network Performance prediction Bayesian optimization Tight gas
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2352484722025173
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