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    Full waveform inversion based on scattering angle enrichment with application to real dataset

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    segam2015-59221732E1.pdf
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    Type
    Article
    Authors
    Wu, Zedong cc
    Alkhalifah, Tariq Ali cc
    KAUST Department
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Seismic Wave Analysis Group
    Date
    2015-08-19
    Online Publication Date
    2015-08-19
    Print Publication Date
    2015-08-19
    Permanent link to this record
    http://hdl.handle.net/10754/593151
    
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    Abstract
    Reflected waveform inversion (RWI) provides a method to reduce the nonlinearity of the standard full waveform inversion (FWI). However, the drawback of the existing RWI methods is inability to utilize diving waves and the extra sensitivity to the migrated image. We propose a combined FWI and RWI optimization problem through dividing the velocity into the background and perturbed components. We optimize both the background and perturbed components, as independent parameters. The new objective function is quadratic with respect to the perturbed component, which will reduce the nonlinearity of the optimization problem. Solving this optimization provides a true amplitude image and utilizes the diving waves to update the velocity of the shallow parts. To insure a proper wavenumber continuation, we use an efficient scattering angle filter to direct the inversion at the early stages to direct energy corresponding to large (smooth velocity) scattering angles to the background velocity update and the small (high wavenumber) scattering angles to the perturbed velocity update. This efficient implementation of the filter is fast and requires less memory than the conventional approach based on extended images. Thus, the new FWI procedure updates the background velocity mainly along the wavepath for both diving and reflected waves in the initial stages. At the same time, it updates the perturbation with mainly reflections (filtering out the diving waves). To demonstrate the capability of this method, we apply it to a real 2D marine dataset.
    Citation
    Zhen-dong Zhang*, Yike Liu, and Gerard Schuster (2015) Wave Equation Inversion of Skeletonized SurfaceWaves. SEG Technical Program Expanded Abstracts 2015: pp. 2391-2395. doi: 10.1190/segam2015-5805253.1
    Publisher
    Society of Exploration Geophysicists
    Journal
    SEG Technical Program Expanded Abstracts 2015
    DOI
    10.1190/segam2015-5922173.1
    Additional Links
    http://library.seg.org/doi/10.1190/segam2015-5922173.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/segam2015-5922173.1
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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