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dc.contributor.authorAlkhalifah, Tariq Ali
dc.date.accessioned2016-02-08T13:10:28Z
dc.date.available2016-02-08T13:10:28Z
dc.date.issued2015-12-17
dc.identifier.citationResearch Note: Insights into the data dependency on anisotropy: an inversion prospective 2015:n/a Geophysical Prospecting
dc.identifier.issn00168025
dc.identifier.doi10.1111/1365-2478.12345
dc.identifier.urihttp://hdl.handle.net/10754/595879
dc.description.abstractWhile velocity contrasts are responsible for most of the events recorded in our data, the long wavelength behavior of the velocity model is responsible for the geometrical shape of these events. For isotropic acoustic materials, the wave dependency on the long (wave propagation) and short (scattering) wavelength velocity components is stationary with the propagation angle. On the other hand, in representing a transversely isotropic with a vertical symmetry axis medium with the normal moveout velocity, the anellepticity parameter η, the vertical scaling parameter δ, and the sensitivity of waves vary with the polar angle for both the long and short wavelength features of the anisotropic dimensionless medium parameters (δ and η). For horizontal reflectors at reasonable depths, the long wavelength features of the η model is reasonably constrained by the long offsets, whereas the short wavelength features produce very week reflections at even reasonable offsets. Thus, for surface acquired seismic data, we could mainly invert for smooth η responsible for the geometrical shape of reflections. On the other hand, while the δ long wavelength components mildly affects the recorded data, its short wavelength variations can produce reflections at even zero offset, with a behavior pattern synonymous to density. The lack of the long wavelength δ information will mildly effect focusing but will cause misplacement of events in depth. With low enough frequencies (very low), we may be able to recover the long wavelength δ using full waveform inversion. However, unlike velocity, the frequencies needed for that should be ultra-low to produce long-wavelength scattering-based model information as δ perturbations do not exert scattering at large offsets. For a combination given by the horizontal velocity, η, and ε, the diving wave influence of η is absorbed by the horizontal velocity, severely limiting the η influence on the data and full waveform inversion. As a result, with a good smooth η estimation, for example, from tomography, we can focus the full waveform inversion to invert for only the horizontal velocity and maybe ε as a parameter to fit the amplitude. This is possibly the most practical parametrization for inversion of surface seismic data in transversely isotropic with vertical symmetry axis media.
dc.language.isoen
dc.publisherWiley
dc.relation.urlhttp://doi.wiley.com/10.1111/1365-2478.12345
dc.rightsThis is the peer reviewed version of the following article: Alkhalifah, T. (2015), Research Note: Insights into the data dependency on anisotropy: an inversion prospective. Geophysical Prospecting. doi: 10.1111/1365-2478.12345, which has been published in final form at http://doi.wiley.com/10.1111/1365-2478.12345. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
dc.titleResearch Note: Insights into the data dependency on anisotropy: an inversion prospective
dc.typeArticle
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentSeismic Wave Analysis Group
dc.identifier.journalGeophysical Prospecting
dc.eprint.versionPost-print
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personAlkhalifah, Tariq Ali
refterms.dateFOA2016-12-17T00:00:00Z
dc.date.published-online2015-12-17
dc.date.published-print2016-03


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