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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Kaixuan Qiu, Jia Li, Da Chen
Format: Artikel
Sprache:English
Veröffentlicht: Elsevier 2022-11-01
Schriftenreihe:Energy Reports
Schlagworte:
Long short-term memory (LSTM) network
Performance prediction
Bayesian optimization
Tight gas
Online Zugang:http://www.sciencedirect.com/science/article/pii/S2352484722025173

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http://www.sciencedirect.com/science/article/pii/S2352484722025173

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