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    Wave equation dispersion inversion using a difference approximation to the dispersion-curve misfit gradient

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    Type
    Article
    Authors
    Zhang, Zhendong cc
    Schuster, Gerard T. cc
    Liu, Yike
    Hanafy, Sherif M.
    Li, Jing cc
    KAUST Department
    Center for Subsurface Imaging and Fluid Modeling
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2016-07-26
    Online Publication Date
    2016-07-26
    Print Publication Date
    2016-10
    Permanent link to this record
    http://hdl.handle.net/10754/621591
    
    Metadata
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    Abstract
    We present a surface-wave inversion method that inverts for the S-wave velocity from the Rayleigh wave dispersion curve using a difference approximation to the gradient of the misfit function. We call this wave equation inversion of skeletonized surface waves because the skeletonized dispersion curve for the fundamental-mode Rayleigh wave is inverted using finite-difference solutions to the multi-dimensional elastic wave equation. The best match between the predicted and observed dispersion curves provides the optimal S-wave velocity model. Our method can invert for lateral velocity variations and also can mitigate the local minimum problem in full waveform inversion with a reasonable computation cost for simple models. Results with synthetic and field data illustrate the benefits and limitations of this method. © 2016 Elsevier B.V.
    Citation
    Zhang Z, Schuster G, Liu Y, Hanafy SM, Li J (2016) Wave equation dispersion inversion using a difference approximation to the dispersion-curve misfit gradient. Journal of Applied Geophysics 133: 9–15. Available: http://dx.doi.org/10.1016/j.jappgeo.2016.07.019.
    Sponsors
    We thank KAUST and CSIM sponsors for their support. Zhang and Liu thank Tariq Alkhalifah for his help. We thank three reviewers for their valuable comments and suggestions. The research was partly funded by the National Nature Science Foundation of China (Grant No. 41430321).
    Publisher
    Elsevier BV
    Journal
    Journal of Applied Geophysics
    DOI
    10.1016/j.jappgeo.2016.07.019
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.jappgeo.2016.07.019
    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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