Seismic features and automatic discrimination of deep and shallow induced-microearthquakes using neural network and logistic regression
Author:
Publisher
Oxford University Press (OUP)
Subject
Geochemistry and Petrology,Geophysics
Link
http://academic.oup.com/gji/article-pdf/207/1/29/7966485/ggw258.pdf
Reference94 articles.
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3. Amidan B.G. Hagedom D.N. Technical Report (No. PNNL-RR-98-12031). Pacific Northwest National Laboratory (PNNL), the U.S. Department of Energy; Washingtown (US), Richland; 1998. Logistic regression applied to seismic discrimination.
4. Using multi-attribute neural networks classification for seismic carbonate facies mapping: a workflow example from mid-cretaceous Persian gulf deposits, in: seismic geomorphology: applications to hydrocarbon exploration and production;Baaske;Geol. Soc. London,2007
5. Matched field processing: Source localization in correlated noise as an optimum parameter estimation problem
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