High order AVO nonlinear inversion based on estimated inverse operator
Author:
Affiliation:
1. Geo-Science and Technology faculty, China University of Petroleum, Shandong Qingdao
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2015-5762021.1
Reference7 articles.
1. Kuzma, H. A., and J. W. Rector, 2004, Non-linear AVO inversion using support vector machines: 74th Annual International Meeting, SEG, Expanded Abstracts, 203–206.
2. Mallick, S., 1992, Inversion of amplitude-versus-offset data using genetic algorithm: 62nd Annual International Meeting, SEG, Expanded Abstracts, 844–847.
3. Mogensen, S., 2001, Artificial neural network solutions to AVO inversion problems: 71st Annual International Meeting, SEG, Expanded Abstracts, 316–319.
4. Ružek, B., P. Kolár, and M. Kvasnicka, 2009, Robust solver of a system of nonlinear equations: http://dsp.vscht.cz/konference_matlab/MATLAB09/prispevky/090_ruzek.pdf.
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1. Nonlinear-amplitude variation with offset inversion based a novel exact PP reflection coefficient;SEG Technical Program Expanded Abstracts 2018;2018-08-27
2. Nonlinear amplitude-variation-with-offset inversion for Lamé parameters using a direct inversion method;Interpretation;2017-08-31
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