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    Skeletonized inversion of surface wave: Active source versus controlled noise comparison

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    INT-2015-0174.pdf
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    Final Published Article
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    Type
    Article
    Authors
    Li, Jing cc
    Hanafy, Sherif
    KAUST Department
    Physical Science and Engineering (PSE) Division
    Date
    2016-07-14
    Online Publication Date
    2016-07-14
    Print Publication Date
    2016-08
    Permanent link to this record
    http://hdl.handle.net/10754/627153
    
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    Abstract
    We have developed a skeletonized inversion method that inverts the S-wave velocity distribution from surface-wave dispersion curves. Instead of attempting to fit every wiggle in the surface waves with predicted data, it only inverts the picked dispersion curve, thereby mitigating the problem of getting stuck in a local minimum. We have applied this method to a synthetic model and seismic field data from Qademah fault, located at the western side of Saudi Arabia. For comparison, we have performed dispersion analysis for an active and controlled noise source seismic data that had some receivers in common with the passive array. The active and passive data show good agreement in the dispersive characteristics. Our results demonstrated that skeletonized inversion can obtain reliable 1D and 2D S-wave velocity models for our geologic setting. A limitation is that we need to build layered initial model to calculate the Jacobian matrix, which is time consuming.
    Citation
    Li J, Hanafy S (2016) Skeletonized inversion of surface wave: Active source versus controlled noise comparison. Interpretation 4: SH11–SH19. Available: http://dx.doi.org/10.1190/int-2015-0174.1.
    Sponsors
    We thank the sponsors for supporting the Center for Subsurface Imaging and Fluid Modeling (CSIM). We thank KAUST for funding this research.
    Publisher
    Society of Exploration Geophysicists
    Journal
    Interpretation
    DOI
    10.1190/int-2015-0174.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/int-2015-0174.1
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Qademah Fault Project; Center for Subsurface Imaging and Fluid Modeling (CSIM)

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