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    Image-domain full waveform inversion

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    segam2013-1238.1.pdf
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    Type
    Conference Paper
    Authors
    Zhang, Sanzong 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
    2013-08-19
    Online Publication Date
    2013-08-19
    Print Publication Date
    2013-09
    Permanent link to this record
    http://hdl.handle.net/10754/627672
    
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    Abstract
    The main difficulty with the data-domain full waveform inversion (FWI) is that it tends to get stuck in the local minima associated with the waveform misfit function. This is because the waveform misfit function is highly nonlinear with respect to changes in velocity model. To reduce this nonlinearity, we define the image-domain objective function to minimize the difference of the suboffset-domain common image gathers (CIGs) obtained by migrating the observed data and the calculated data. The derivation shows that the gradient of this new objective function is the combination of the gradient of the conventional FWI and the image-domain differential semblance optimization (DSO). Compared to the conventional FWI, the imagedomain FWI is immune to cycle skipping problems by smearing the nonzero suboffset images along wavepath. It also can avoid the edge effects and the gradient artifacts that are inherent in DSO due to the falsely over-penalized focused images. This is achieved by subtracting the focused image associated with the calculated data from the unfocused image associated with the observed data in the image-domain misfit function. The numerical results of the Marmousi model show that image-domain FWI is less sensitive the initial model than the conventional FWI. © 2013 SEG.
    Citation
    Zhang S, Schuster G, Abdullah K (2013) Image-domain full waveform inversion. SEG Technical Program Expanded Abstracts 2013. Available: http://dx.doi.org/10.1190/segam2013-1238.1.
    Sponsors
    We thank the 2013 sponsors of Center for Subsurface Imaging and Fluid Modeling (CSIM) at KAUST. We also appreciate the support from IBM Deep Research Center and KAUST High Performance Computing. The intensive computation in this works is conducted in Blue Gene P/Q.
    Publisher
    Society of Exploration Geophysicists
    Journal
    SEG Technical Program Expanded Abstracts 2013
    Conference/Event name
    SEG Houston 2013 Annual Meeting, SEG 2013
    DOI
    10.1190/segam2013-1238.1
    Additional Links
    http://library.seg.org/doi/abs/10.1190/segam2013-1238.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/segam2013-1238.1
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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