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3D isotropic elastic reverse time migration using signed magnitudes of elastic data components

WENLONG WANG1 ,  GEORGE A. MCMECHAN2
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1 Department of Mathematics, Harbin Institute of Technology, 92 Xidazhi St., Nangang Dist., Harbin, Heilongjiang 150001, P.R. China.,
2 Center for Lithospheric Studies, The University of Texas at Dallas, 800 W. Campbell Road, Richardson, TX 75080-3021, U.S.A.,
JSE 2019, 28(3), 221–244;
Submitted: 29 July 2018 | Accepted: 15 April 2019 | Published: 1 June 2019
© 2019 by the Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
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Abstract

Wang, W. and McMechan, G.A., 2019. 3D isotropic elastic reverse time migration using signed magnitudes of elastic data components. Journal of Seismic Exploration, 28: 221-244. Elastic reverse time migration (ERTM) is capable of characterizing subsurface properties more completely than its acoustic counterpart. P- and S-waves coexist in elastic wavefields, and their separation is required before, or as part of, applying the image conditions. Traditional P- and S-wave separation methods based on divergence and curl operators don't preserve the elastic vector information, and the associated polarity reversals of S-wave images are difficult to handle. Thus a preferable workflow for isotropic ERTM should include a vector decomposition of the elastic wavefields and a vector-based image condition that directly uses the signed magnitudes of the decomposed vector wavefields to produce PP and PS images. We propose a new 3D elastic image condition which is a source-normalized crosscorrelation of the signed magnitudes of the decomposed wavefields. The image condition is robust and stable for generating 3D PP and PS images and their corresponding angle domain common-image gathers (ADCIGs) with incident angles calculated from Poynting vectors. Comparisons between the proposed image condition and a vector-based dot-product image condition and show that the proposed image condition generates PP ADCIGs with a wider range of incident angles than existing dot-product image conditions.

Keywords
3D
RTM
elastic
image condition
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Journal of Seismic Exploration, Electronic ISSN: 0963-0651 Print ISSN: 0963-0651, Published by AccScience Publishing
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