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    Analysis of RTM extended images for VTI media

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    segam2015-59309962E1.pdf
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    Type
    Article
    Authors
    Li, Vladimir
    Tsvankin, Ilya
    Alkhalifah, Tariq Ali cc
    KAUST Department
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Seismic Wave Analysis Group
    Date
    2015-08-19
    Online Publication Date
    2015-08-19
    Print Publication Date
    2015-08-19
    Permanent link to this record
    http://hdl.handle.net/10754/593185
    
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    Abstract
    Extended images obtained from reverse-time migration (RTM) contain information about the accuracy of the velocity field and subsurface illumination at different incidence angles. Here, we evaluate the influence of errors in the anisotropy parameters on the shape of the residual moveout (RMO) in P-wave RTM extended images for VTI (transversely isotropic with a vertical symmetry axis) media. Considering the actual spatial distribution of the zero-dip NMO velocity (Vnmo), which could be approximately estimated by conventional techniques, we analyze the extended images obtained with distorted fields of the parameters η and δ. Differential semblance optimization (DSO) and stack-power estimates are employed to study the sensitivity of focusing to the anisotropy parameters. The results show that the signature of η is dip-dependent, whereas errors in δ cause defocusing only if that parameter is laterally varying. Hence, earlier results regarding the influence of η and δ on reflection moveout and migration velocity analysis remain generally valid in the extended image space for complex media. The dependence of RMO on errors in the anisotropy parameters provides essential insights for anisotropic wavefield tomography using extended images.
    Citation
    Vladimir Li, Ilya Tsvankin, and Tariq Alkhalifah (2015) Analysis of RTM extended images for VTI media. SEG Technical Program Expanded Abstracts 2015: pp. 519-524. doi: 10.1190/segam2015-5930996.1
    Publisher
    Society of Exploration Geophysicists
    Journal
    SEG Technical Program Expanded Abstracts 2015
    DOI
    10.1190/segam2015-5930996.1
    Additional Links
    http://library.seg.org/doi/10.1190/segam2015-5930996.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/segam2015-5930996.1
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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