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    Automatic Wave Equation Migration Velocity Analysis by Focusing Subsurface Virtual Sources

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    geo2017-0213.1.pdf
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    Type
    Article
    Authors
    Sun, Bingbing
    Alkhalifah, Tariq Ali cc
    KAUST Department
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Seismic Wave Analysis Group
    Date
    2017-12-22
    Online Publication Date
    2017-12-22
    Print Publication Date
    2018-03
    Permanent link to this record
    http://hdl.handle.net/10754/626131
    
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    Abstract
    Macro velocity model building is important for subsequent pre-stack depth migration and full waveform inversion. Wave equation migration velocity analysis (WEMVA) utilizes the band-limited waveform to invert for the velocity. Normally, inversion would be implemented by focusing the subsurface offset common image gathers (SOCIGs). We re-examine this concept with a different perspective: In subsurface offset domain, using extended Born modeling, the recorded data can be considered as invariant with respect to the perturbation of the position of the virtual sources and velocity at the same time. A linear system connecting the perturbation of the position of those virtual sources and velocity is derived and solved subsequently by Conjugate Gradient method. In theory, the perturbation of the position of the virtual sources is given by the Rytov approximation. Thus, compared to the Born approximation, it relaxes the dependency on amplitude and makes the proposed method more applicable for real data. We demonstrate the effectiveness of the approach by applying the proposed method on both isotropic and anisotropic VTI synthetic data. A real dataset example verifies the robustness of the proposed method.
    Citation
    Sun B, Alkhalifah T (2017) Automatic Wave Equation Migration Velocity Analysis by Focusing Subsurface Virtual Sources. GEOPHYSICS: 1–40. Available: http://dx.doi.org/10.1190/geo2017-0213.1.
    Sponsors
    The real dataset from Australia shown in this study is proprietary to and provided courtesy of CGG company. The authors would like to thank Statoil ASA and the Volve license partners ExxonMobil Exploration and Production Norway AS and Bayerngas Norge AS for the release of the Volve data. We thank the associate editor J. Schleicher and the reviewers K. Wapenaar, and F. Perrone for their constructive comments that helped to improve the paper.The authors also thank for the resources of the supercomputing Laboratory at KAUST.
    Publisher
    Society of Exploration Geophysicists
    Journal
    GEOPHYSICS
    DOI
    10.1190/geo2017-0213.1
    Additional Links
    http://library.seg.org/doi/10.1190/geo2017-0213.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/geo2017-0213.1
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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