A robust deep learning workflow to predict multiphase flow behavior during geological CO2 sequestration injection and Post-Injection periods

•A robust deep learning (DL) workflow has been developed to predict the long term process of geologic CO2 sequestration.•Different sets of features fed to DL have been evaluated to obtain the most accurate prediction for pressure and saturation.•The DL workflow shows great efficiency with a speedup...

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Veröffentlicht in:	Journal of hydrology (Amsterdam) 2022-04, Vol.607, Article 127542
Hauptverfasser:	Yan, Bicheng, Chen, Bailian, Robert Harp, Dylan, Jia, Wei, Pawar, Rajesh J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Deep learning Earth Sciences Energy Sciences Fourier neural operator Geologic CO2 sequestration Geologic sequestration GEOSCIENCES Mathematics Physics-based simulation
Online-Zugang:	Volltext
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