History matching of a three dimensional channelized reservoir using a beta-convolutional variational autoencoder and ensemble smoother with multiple data assimilation

Three-dimensional channelized reservoir characterization is challenging because complex channel patterns, vertical interaction of reservoir properties, and high computational costs make it hard to carry out inverse calculations. This paper proposes a novel deep learning-based history-matching scheme...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 159; S. 111620
Hauptverfasser:	Ahn, Youngbin, Choe, Jonggeun, Min, Baehyun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.11.2025
Schlagworte:	Beta-convolutional variational autoencoder Deep learning Ensemble smoother with multiple data assimilation History matching Three-dimensional channelized reservoir Deep learning Beta-convolutional variational autoencoder History matching Ensemble smoother with multiple data assimilation Three-dimensional channelized reservoir
ISSN:	0952-1976
Online-Zugang:	Volltext
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