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    Variance-based Salt Body Reconstruction

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    paris17_2_TA.pdf
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    Description:
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    Type
    Conference Paper
    Authors
    Ovcharenko, Oleg cc
    Kazei, Vladimir cc
    Peter, Daniel cc
    Alkhalifah, Tariq Ali cc
    KAUST Department
    Earth Science and Engineering Program
    Extreme Computing Research Center
    Physical Science and Engineering (PSE) Division
    Seismic Wave Analysis Group
    Date
    2017-05-26
    Online Publication Date
    2017-05-26
    Print Publication Date
    2017-06-12
    Permanent link to this record
    http://hdl.handle.net/10754/626990
    
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    Abstract
    Seismic inversions of salt bodies are challenging when updating velocity models based on Born approximation- inspired gradient methods. We propose a variance-based method for velocity model reconstruction in regions complicated by massive salt bodies. The novel idea lies in retrieving useful information from simultaneous updates corresponding to different single frequencies. Instead of the commonly used averaging of single-iteration monofrequency gradients, our algorithm iteratively reconstructs salt bodies in an outer loop based on updates from a set of multiple frequencies after a few iterations of full-waveform inversion. The variance among these updates is used to identify areas where considerable cycle-skipping occurs. In such areas, we update velocities by interpolating maximum velocities within a certain region. The result of several recursive interpolations is later used as a new starting model to improve results of conventional full-waveform inversion. An application on part of the BP 2004 model highlights the evolution of the proposed approach and demonstrates its effectiveness.
    Citation
    Ovcharenko OO, Kazei VV, Peter D, Alkhalifah T (2017) Variance-based Salt Body Reconstruction. 79th EAGE Conference and Exhibition 2017. Available: http://dx.doi.org/10.3997/2214-4609.201700832.
    Publisher
    EAGE Publications
    Journal
    79th EAGE Conference and Exhibition 2017
    DOI
    10.3997/2214-4609.201700832
    Additional Links
    http://www.earthdoc.org/publication/publicationdetails/?publication=88549
    ae974a485f413a2113503eed53cd6c53
    10.3997/2214-4609.201700832
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Extreme Computing Research Center; Earth Science and Engineering Program

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