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    Anisotropy signature in reverse-time migration extended images

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    Type
    Article
    Authors
    Sava, Paul C.
    Alkhalifah, Tariq Ali cc
    KAUST Department
    Earth Science and Engineering Program
    Environmental Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Seismic Wave Analysis Group
    Date
    2014-11-04
    Online Publication Date
    2014-11-04
    Print Publication Date
    2015-03
    Permanent link to this record
    http://hdl.handle.net/10754/563845
    
    Metadata
    Show full item record
    Abstract
    Reverse-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.
    Citation
    Sava, P., & Alkhalifah, T. (2014). Anisotropy signature in reverse-time migration extended images. Geophysical Prospecting, 63(2), 271–282. doi:10.1111/1365-2478.12189
    Sponsors
    This 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.
    Publisher
    Wiley
    Journal
    Geophysical Prospecting
    DOI
    10.1111/1365-2478.12189
    ae974a485f413a2113503eed53cd6c53
    10.1111/1365-2478.12189
    Scopus Count
    Collections
    Articles; Environmental Science and Engineering Program; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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