The Use of 3D Convolutional Autoencoder in Fault and Fracture Network Characterization

Conventional pattern recognition methods directly use 1D poststack data or 2D prestack data for the statistical pattern recognition of fault and fracture network, thereby ignoring the spatial structure information in 3D seismic data. As a result, the generated fault and fracture network is not disti...

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Bibliographic Details
Published in:	Geofluids Vol. 2021; pp. 1 - 11
Main Authors:	Xu, Feng, Li, Zhiyong, Wen, Bo, Huang, Youhui, Wang, Yaojun
Format:	Journal Article
Language:	English
Published:	Chichester Hindawi 2021 John Wiley & Sons, Inc Wiley
Subjects:	Cluster analysis Clustering Coders Convolution Deep learning Dimensions Fault lines Feature extraction Feature selection Fractured reservoirs Geology Neural networks Pattern recognition Principal components analysis Seismic activity Seismic data Seismic simulators Seismological data Teaching methods Training Wavelet transforms China
ISSN:	1468-8115, 1468-8123
Online Access:	Get full text
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