Semi‐supervised deep autoencoder for seismic facies classification

ABSTRACT Facies boundaries are critical for flow performance in a reservoir and are significant for lithofacies identification in well interpretation and reservoir prediction. Facies identification based on supervised machine learning methods usually requires a large amount of labelled data, which a...

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Veröffentlicht in:	Geophysical Prospecting Jg. 69; H. 6; S. 1295 - 1315
Hauptverfasser:	Liu, Xingye, Li, Bin, Li, Jingye, Chen, Xiaohong, Li, Qingchun, Chen, Yangkang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Houten Wiley Subscription Services, Inc 01.07.2021
Schlagworte:	Accuracy Classification Feasibility studies Identification Lithofacies Machine learning Parameter estimation Regularization Reservoir geophysics Reservoirs Seismic data Seismic surveys Seismics Training
ISSN:	0016-8025, 1365-2478
Online-Zugang:	Volltext
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