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    Wave-equation reflection traveltime inversion

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    Type
    Article
    Authors
    Zhang, Sanzong cc
    Schuster, Gerard T. cc
    Luo, Yi
    KAUST Department
    Center for Subsurface Imaging and Fluid Modeling
    Earth Science and Engineering Program
    Environmental Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2012-05-25
    Online Publication Date
    2012-05-25
    Print Publication Date
    2011-01
    Permanent link to this record
    http://hdl.handle.net/10754/561697
    
    Metadata
    Show full item record
    Abstract
    The main difficulty with iterative waveform inversion using a gradient optimization method is that it tends to get stuck in local minima associated within the waveform misfit function. This is because the waveform misfit function is highly nonlinear with respect to changes in the velocity model. To reduce this nonlinearity, we present a reflection traveltime tomography method based on the wave equation which enjoys a more quasi-linear relationship between the model and the data. A local crosscorrelation of the windowed downgoing direct wave and the upgoing reflection wave at the image point yields the lag time that maximizes the correlation. This lag time represents the reflection traveltime residual that is back-projected into the earth model to update the velocity in the same way as wave-equation transmission traveltime inversion. No travel-time picking is needed and no high-frequency approximation is assumed. The mathematical derivation and the numerical examples are presented to partly demonstrate its efficiency and robustness. © 2011 Society of Exploration Geophysicists.
    Citation
    Zhang, S., Schuster, G., & Luo, Y. (2011). Wave-equation reflection traveltime inversion. SEG Technical Program Expanded Abstracts 2011. doi:10.1190/1.3627756
    Publisher
    Society of Exploration Geophysicists
    Journal
    SEG Technical Program Expanded Abstracts 2011
    DOI
    10.1190/1.3627756
    ae974a485f413a2113503eed53cd6c53
    10.1190/1.3627756
    Scopus Count
    Collections
    Articles; Environmental Science and Engineering Program; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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