Seismic elastic RTM with vector-wavefield decomposition
File(s)2019_ERTM_Shi_gxz023.pdf (3.39 MB)
Published version
Author(s)
Shi, Ying
Zhang, Wei
Wang, Yanghua
Type
Journal Article
Abstract
The advanced seismic imaging technology is reverse-time migration (RTM), which generates Earth's structural image by cross-correlating the forward-propagated source wavefield and the back-propagated receiver wavefield. Both these wavefields conventionally are assumed to be acoustic waves. When applying this RTM technology to seismic elastic waves, which are the multi-component rather than the single-component data, the cross-correlation procedure will suffer from a crosstalk effect between different wave modes. Therefore, prior to RTM imaging, both the source and receiver wavefields need to be decomposed into the pure P-wave mode and the pure S-wave mode. This paper envisages the advanced features of a vector-wavefield decomposition method that presents either the P- or the S-wave mode as a vector wavefield. This vector-wavefield decomposition method is based on a group of decoupled wave equations. The two separated vector wavefields preserve the true amplitude and phase information. Then, the associated RTM imaging condition is an inner-product of these two vector wavefields, rather than the cross correlation that is applicable to two scalar wavefields. The conventional elastic RTM approach uses the Helmholtz decomposition method to derive P- and S-waves and then implements cross correlation to produce the image. In comparison to this conventional combination, this paper demonstrates that the elastic RTM method using a combination of the vector-wavefield decomposition and the inner-product imaging condition is capable of producing seismic images with correct amplitudes and phases of various reflection modes.
Date Issued
2019-06-01
Date Acceptance
2019-03-30
Citation
Journal of Geophysics and Engineering, 2019, 16 (3), pp.509-524
ISSN
1742-2132
Publisher
Oxford University Press
Start Page
509
End Page
524
Journal / Book Title
Journal of Geophysics and Engineering
Volume
16
Issue
3
Copyright Statement
© The Author(s) 2019. Published by Oxford University Press on behalf of the Sinopec Geophysical Research Institute. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright URL
Subjects
0404 Geophysics
0905 Civil Engineering
Geochemistry & Geophysics
Publication Status
Published
Date Publish Online
2019-05-31