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    Superresolution Imaging Using Resonant Multiples

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    geo2017-0311.1.pdf
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    Description:
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    Type
    Article
    Authors
    Guo, Bowen cc
    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
    2018-02-16
    Online Publication Date
    2018-02-16
    Print Publication Date
    2018-03
    Permanent link to this record
    http://hdl.handle.net/10754/626815
    
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    Abstract
    A resonant multiple is defined as a multiple reflection that revisits the same subsurface location along coincident reflection raypaths. We show that resonant first-order multiples can be migrated with either Kirchhoff or wave-equation migration methods to give images with approximately twice the spatial resolution compared to post-stack primary-reflection images. A moveout-correction stacking method is proposed to enhance the signal-to-noise ratios (SNRs) of the resonant multiples before superresolution migration. The effectiveness of this procedure is validated by synthetic and field data tests.
    Citation
    Guo B, Schuster GT (2017) Superresolution Imaging Using Resonant Multiples. GEOPHYSICS: 1–58. Available: http://dx.doi.org/10.1190/geo2017-0311.1.
    Sponsors
    This research is supported by King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia. We are grateful to the sponsors of the Center for Subsurface Imaging and Fluid Modeling (CSIM) Consortium for their financial support. We also thank the Supercomputing Laboratory at KAUST for providing the computational resources. The first author would also like to thank Mr. Mrinal Sinha, Mr. Zongcai Feng and Dr. Han Yu for their helpful editing and advice.
    Publisher
    Society of Exploration Geophysicists
    Journal
    GEOPHYSICS
    DOI
    10.1190/geo2017-0311.1
    Additional Links
    https://library.seg.org/doi/10.1190/geo2017-0311.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/geo2017-0311.1
    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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