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    A cross-correlation objective function for least-squares migration and visco-acoustic imaging

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    segam2014-13762E1.pdf
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    Type
    Article
    Authors
    Dutta, Gaurav cc
    Sinha, Mrinal 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
    2014-08-05
    Online Publication Date
    2014-08-05
    Print Publication Date
    2014-08-05
    Permanent link to this record
    http://hdl.handle.net/10754/593350
    
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    Abstract
    Conventional acoustic least-squares migration inverts for a reflectivity image that best matches the amplitudes of the observed data. However, for field data applications, it is not easy to match the recorded amplitudes because of the visco-elastic nature of the earth and inaccuracies in the estimation of source signature and strength at different shot locations. To relax the requirement for strong amplitude matching of least-squares migration, we use a normalized cross-correlation objective function that is only sensitive to the similarity between the predicted and the observed data. Such a normalized cross-correlation objective function is also equivalent to a time-domain phase inversion method where the main emphasis is only on matching the phase of the data rather than the amplitude. Numerical tests on synthetic and field data show that such an objective function can be used as an alternative to visco-acoustic least-squares reverse time migration (Qp-LSRTM) when there is strong attenuation in the subsurface and the estimation of the attenuation parameter Qp is insufficiently accurate.
    Citation
    Gaurav Dutta, Mrinal Sinha*, and Gerard T. Schuster (2014) A cross-correlation objective function for least-squares migration and visco-acoustic imaging. SEG Technical Program Expanded Abstracts 2014: pp. 3985-3990. doi: 10.1190/segam2014-1376.1
    Publisher
    Society of Exploration Geophysicists
    Journal
    SEG Technical Program Expanded Abstracts 2014
    DOI
    10.1190/segam2014-1376.1
    Additional Links
    http://library.seg.org/doi/abs/10.1190/segam2014-1376.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/segam2014-1376.1
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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