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dc.contributor.authorSava, Paul C.
dc.contributor.authorAlkhalifah, Tariq Ali
dc.date.accessioned2015-08-03T12:16:41Z
dc.date.available2015-08-03T12:16:41Z
dc.date.issued2014-11-04
dc.identifier.citationSava, P., & Alkhalifah, T. (2014). Anisotropy signature in reverse-time migration extended images. Geophysical Prospecting, 63(2), 271–282. doi:10.1111/1365-2478.12189
dc.identifier.issn00168025
dc.identifier.doi10.1111/1365-2478.12189
dc.identifier.urihttp://hdl.handle.net/10754/563845
dc.description.abstractReverse-time migration can accurately image complex geologic structures in anisotropic media. Extended images at selected locations in the Earth, i.e., at common-image-point gathers, carry rich information to characterize the angle-dependent illumination and to provide measurements for migration velocity analysis. However, characterizing the anisotropy influence on such extended images is a challenge. Extended common-image-point gathers are cheap to evaluate since they sample the image at sparse locations indicated by the presence of strong reflectors. Such gathers are also sensitive to velocity error that manifests itself through moveout as a function of space and time lags. Furthermore, inaccurate anisotropy leaves a distinctive signature in common-image-point gathers, which can be used to evaluate anisotropy through techniques similar to the ones used in conventional wavefield tomography. It specifically admits a V-shaped residual moveout with the slope of the "V" flanks depending on the anisotropic parameter η regardless of the complexity of the velocity model. It reflects the fourth-order nature of the anisotropy influence on moveout as it manifests itself in this distinct signature in extended images after handling the velocity properly in the imaging process. Synthetic and real data observations support this assertion.
dc.description.sponsorshipThis work was supported in part by the Center for Wave Phenomena at Colorado School of Mines and by the King Abdullah City for Science and Technology (KACST). The authors would like to thank Statoil ASA and the Volve licence partners, ExxonMobil E&P Norway, and Bayerngas Norge for the release of the Volve data. The reproducible numeric examples in this paper use the Madagascar open-source software package freely available from http://www.ahay.org.
dc.publisherWiley
dc.titleAnisotropy signature in reverse-time migration extended images
dc.typeArticle
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentEnvironmental Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentSeismic Wave Analysis Group
dc.identifier.journalGeophysical Prospecting
dc.contributor.institutionColorado School of MinesGolden, United States
kaust.personAlkhalifah, Tariq Ali
dc.date.published-online2014-11-04
dc.date.published-print2015-03


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