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Journal of geophysics and engineering, 2019-06, Vol.16 (3), p.509-524
2019
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Autor(en) / Beteiligte
Titel
Seismic elastic RTM with vector-wavefield decomposition
Ist Teil von
  • Journal of geophysics and engineering, 2019-06, Vol.16 (3), p.509-524
Ort / Verlag
Oxford University Press
Erscheinungsjahr
2019
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
  • 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.
Sprache
Englisch
Identifikatoren
ISSN: 1742-2132
eISSN: 1742-2140
DOI: 10.1093/jge/gxz023
Titel-ID: cdi_crossref_primary_10_1093_jge_gxz023
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