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    Tutorial for Wave Equation Inversion of Skeletonized Data

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    int-2016-0241.1.pdf
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    Description:
    Accepted Manuscript
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    Type
    Article
    Authors
    Lu, Kai
    Li, Jing cc
    Guo, Bowen cc
    Fu, Lei
    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
    2017-04-25
    Online Publication Date
    2017-04-25
    Print Publication Date
    2017-08-31
    Permanent link to this record
    http://hdl.handle.net/10754/623301
    
    Metadata
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    Abstract
    Full waveform inversion of seismic data is often plagued by cycle skipping problems so that an iterative optimization method often gets stuck in a local minimum. To avoid this problem we simplify the objective function so that the iterative solution can quickly converge to a solution in the vicinity of the global minimum. The objective function is simplified by only using parsimonious and important portions of the data, which are defined as skeletonized data. We now present a mostly non-mathematical tutorial that explains the theory of skeletonized inversion. We also show its effectiveness with examples.
    Citation
    Lu K, Li J, Guo B, Fu L, Schuster G (2017) Tutorial for Wave Equation Inversion of Skeletonized Data. Interpretation: 1–39. Available: http://dx.doi.org/10.1190/int-2016-0241.1.
    Sponsors
    The research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST). We thank the financial support from the sponsors of the Consortium of Subsurface Imaging and Fluid Modeling (CSIM). For computer time, this research used the resources of the IT Research Computing Group and the Supercomputing Laboratory at KAUST. We thank them for providing the computational resources required for carrying out this work.
    Publisher
    Society of Exploration Geophysicists
    Journal
    Interpretation
    DOI
    10.1190/int-2016-0241.1
    Additional Links
    http://library.seg.org/doi/10.1190/int-2016-0241.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/int-2016-0241.1
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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