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    Super-virtual Interferometric Separation and Enhancement of Back-scattered Surface Waves

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    segam2015-58594522E1.pdf
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    Description:
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    Type
    Article
    Authors
    Guo, Bowen cc
    Hanafy, Sherif
    Schuster, Gerard T. cc
    KAUST Department
    Center for Subsurface Imaging and Fluid Modeling
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    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/10754/593187
    
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    Abstract
    Back-scattered surface waves can be migrated to detect near-surface reflectors with steep dips. A robust surface-wave migration requires the prior separation of the back-scattered surface-wave events from the data. This separation is often difficult to implement because the back-scattered surface waves are masked by the incident surface waves. We mitigate this problem by using a super-virtual interferometric method to enhance and separate the back-scattered surface waves. The key idea is to calculate the virtual back-scattered surface waves by stacking the resulting virtual correlated and convolved traces associated with the incident and back-scattered waves. Stacking the virtual back-scattered surface waves improves their signal-to-noise ratio and separates the back-scattered surface-waves from the incident field. Both synthetic and field data results validate the robustness of this method.
    Citation
    Bowen Guo*, Sherif Hanafy, and Gerard Schuster (2015) Super-virtual Interferometric Separation and Enhancement of Back-scattered Surface Waves. SEG Technical Program Expanded Abstracts 2015: pp. 5092-5096. doi: 10.1190/segam2015-5859452.1
    Publisher
    Society of Exploration Geophysicists
    Journal
    SEG Technical Program Expanded Abstracts 2015
    DOI
    10.1190/segam2015-5859452.1
    Additional Links
    http://library.seg.org/doi/10.1190/segam2015-5859452.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/segam2015-5859452.1
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program; Center for Subsurface Imaging and Fluid Modeling (CSIM)

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