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dc.contributor.authorLiu, Qiancheng
dc.contributor.authorZhang, Jianfeng
dc.contributor.authorLu, Yongming
dc.contributor.authorGao, Hongwei
dc.contributor.authorLiu, Shaolin
dc.contributor.authorZhang, Hao
dc.date.accessioned2019-01-09T14:02:12Z
dc.date.available2019-01-09T14:02:12Z
dc.date.issued2019-01-05
dc.identifier.citationLiu Q, Zhang J, Lu Y, Gao H, Liu S, et al. (2019) Fast Poynting-Vector based wave-mode separation and RTM in 2D elastic TI media. Journal of Computational Physics. Available: http://dx.doi.org/10.1016/j.jcp.2018.12.024.
dc.identifier.issn0021-9991
dc.identifier.doi10.1016/j.jcp.2018.12.024
dc.identifier.urihttp://hdl.handle.net/10754/630780
dc.description.abstractThe wave-modes in isotropic elastic media are easy to get separated by using Helmholtz decomposition. This method, however, fails in TI (transverse isotropic) media due to the anisotropy, and more sophisticated operators are required. Most of these existing operators are implemented and limited in FD (finite-difference) stencil. We propose a Poynting-vector based method, which separates wave-modes pointwisely, independent of the modeling stencils. In TI media, the Poynting-vector indicates the group-velocity direction while the wave-modes get separated in the polarization-vector direction. We write the relationship between these two directions into a small numerical table by exploiting the phase-velocity direction as a bridge prior to wavefield propagation. During the modeling process, it is easy to estimate the group-velocity direction from the Poynting vector, and then we can get the polarization-vector direction to separate wave-modes by checking the numerical table. We test our method on several TI models. We furthermore apply our method to elastic reverse-time migration (RTM) in TI media.
dc.description.sponsorshipWe are grateful to editor Jan S. Hesthaven, and two anonymous reviewers for improving the initial manuscript. We thank D. Keyes and D. Peter's supporting for the High-Performance Computing facilities. The research reported in this publication was in part supported by funding from King Abdullah University of Science and Technology (KAUST). For computer time, this research used the resources of the Information Technology Division and Extreme Computing Research Center (ECRC) at KAUST.
dc.publisherElsevier BV
dc.relation.urlhttps://www.sciencedirect.com/science/article/pii/S0021999119300051?via%3Dihub
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Journal of Computational Physics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Computational Physics, [, , (2019-01-05)] DOI: 10.1016/j.jcp.2018.12.024 . © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectWave propagation
dc.subjectElasticity
dc.subjectAnisotropy
dc.subjectWave separation
dc.titleFast Poynting-Vector based wave-mode separation and RTM in 2D elastic TI media
dc.typeArticle
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Division
dc.identifier.journalJournal of Computational Physics
dc.eprint.versionPost-print
dc.contributor.institutionInstitute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China.
dc.contributor.institutionDivision of Mathematical Sciences, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore
kaust.authorLiu, Qiancheng


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NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Computational Physics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Computational Physics, [, , (2019-01-05)] DOI: 10.1016/j.jcp.2018.12.024 . © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Except where otherwise noted, this item's license is described as NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Computational Physics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Computational Physics, [, , (2019-01-05)] DOI: 10.1016/j.jcp.2018.12.024 . © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/