Separate P- and SV-wave equations for VTI media

Reynam C. Pestana, Bjørn Ursin, Paul L. Stoffa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

53 Scopus citations

Abstract

In isotropic media we use the scalar acoustic wave equation to perform reverse time migration RTM of the recorded pressure wavefleld data. In anisotropic media P- and SV-waves are coupled and the elastic wave equation should be used for RTM. However, an acoustic anisotropic wave equation is often used instead. This results in significant shear wave energy in both modeling and RTM. To avoid this undesired SV-wave energy, we propose a different approach to separate P- and SV-wave components for vertical transversely isotropic VTI media. We derive independent pseudo-differential wave equations for each mode. The derived equations for P- and SV-waves are stable and reduce to the isotropic case. The equations presented here can be effectively used to model and migrate seismic data in VTI media where ε - δ is small. The SV-wave equation we develop is now well-posed and triplications in the SV wavefront are removed resulting in stable wave propagation. We show modeling and RTM results using the derived pure P-wave mode in complex VTI media and use the rapid expansion method REM to propagate the waveflelds in time. © 2011 Society of Exploration Geophysicists.
Original languageEnglish (US)
Title of host publicationSEG Technical Program Expanded Abstracts 2011
PublisherSociety of Exploration Geophysicists
Pages163-167
Number of pages5
DOIs
StatePublished - May 25 2012
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: Pestana and Stoffa would like to acknowledge support receivedfor this research from King Abdullah University of Scienceand Technology (KAUST). Bjørn Ursin has received supportfrom VISTA and the Norwegian Research Council through theRose project. The authors would like to thank Paul Fowler foruseful discussions on this topic. Finally, the authors also thankAmerada Hess for making the synthetic data set available.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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