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    Iterative supervirtual refraction interferometry

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    Type
    Article
    Authors
    Al-Hagan, Ola
    Hanafy, Sherif M.
    Schuster, Gerard T. cc
    KAUST Department
    Center for Subsurface Imaging and Fluid Modeling
    Earth Science and Engineering Program
    Environmental Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2014-05-02
    Online Publication Date
    2014-05-02
    Print Publication Date
    2014-05
    Permanent link to this record
    http://hdl.handle.net/10754/575599
    
    Metadata
    Show full item record
    Abstract
    In refraction tomography, the low signal-to-noise ratio (S/N) can be a major obstacle in picking the first-break arrivals at the far-offset receivers. To increase the S/N, we evaluated iterative supervirtual refraction interferometry (ISVI), which is an extension of the supervirtual refraction interferometry method. In this method, supervirtual traces are computed and then iteratively reused to generate supervirtual traces with a higher S/N. Our empirical results with both synthetic and field data revealed that ISVI can significantly boost up the S/N of far-offset traces. The drawback is that using refraction events from more than one refractor can introduce unacceptable artifacts into the final traveltime versus offset curve. This problem can be avoided by careful windowing of refraction events.
    Citation
    Al-Hagan, O., Hanafy, S. M., & Schuster, G. T. (2014). Iterative supervirtual refraction interferometry. GEOPHYSICS, 79(3), Q21–Q30. doi:10.1190/geo2013-0210.1
    Sponsors
    We thank the 2011-2012 sponsors of the CSIM Consortium (csim.kaust.edu.sa) for their support. We also thank KSL, King Abdullah University of Science and Technology, for the use of the Shaheen supercomputer.
    Publisher
    Society of Exploration Geophysicists
    Journal
    GEOPHYSICS
    DOI
    10.1190/GEO2013-0210.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/GEO2013-0210.1
    Scopus Count
    Collections
    Articles; Environmental Science and Engineering Program; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program; Qademah Fault Project; Center for Subsurface Imaging and Fluid Modeling (CSIM)

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