Developing a seismic texture analysis neural network for machine-aided seismic pattern recognition and classification-Reference-Cited by-同舟云学术

Developing a seismic texture analysis neural network for machine-aided seismic pattern recognition and classification

Published:2019-05-28 Issue:2 Volume:218 Page:1262-1275
ISSN:0956-540X
Container-title:Geophysical Journal International
language:en
Short-container-title:

Author:

Di Haibin¹²,Gao Dengliang³,AlRegib Ghassan¹

Affiliation:

1. Georgia Institute of Technology, School of Electrical and Computer Engineering, Center for Energy and Geo Processing (CeGP), Atlanta, GA 30308, USA

2. Schlumberger, Exploration & Field Development Platform Digital, Data Analytics Program, Houston, TX 77056, USA

3. West Virginia University, Department of Geology and Geography, Morgantown, WV 26506, USA

Publisher

Oxford University Press (OUP)

Subject

Geochemistry and Petrology,Geophysics

Link

http://academic.oup.com/gji/advance-article-pdf/doi/10.1093/gji/ggz226/28708911/ggz226.pdf

Reference54 articles.

1. Weakly supervised seismic structure labeling via orthogonal non-negative matrix factorization;Alaudah,2017

2. A weakly-supervised approach to seismic structure labeling;Alaudah,2017

3. Subsurface structure analysis using computational interpretation and learning;AlRegib;IEEE Signal Process. Mag.,2018

4. 3-D seismic discontinuity for faults and stratigraphic features: the coherence cube;Bahorich;Leading Edge,1995

5. deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Trans. Pattern Anal. Mach. Intell.,2017

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