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    Elastic least-squares reverse time migration

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    segam2016-13863861.1.pdf
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    Type
    Conference Paper
    Authors
    Feng, Zongcai 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
    2016-09
    Online Publication Date
    2016-09
    Print Publication Date
    2016-09
    Permanent link to this record
    http://hdl.handle.net/10754/626426
    
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    Abstract
    Elastic least-squares reverse time migration (LSRTM) is used to invert synthetic particle-velocity data and crosswell pressure field data. The migration images consist of both the P- and Svelocity perturbation images. Numerical tests on synthetic and field data illustrate the advantages of elastic LSRTM over elastic reverse time migration (RTM). In addition, elastic LSRTM images are better focused and have better reflector continuity than do the acoustic LSRTM images.
    Citation
    Feng Z, Schuster G (2016) Elastic least-squares reverse time migration. SEG Technical Program Expanded Abstracts 2016. Available: http://dx.doi.org/10.1190/segam2016-13863861.1.
    Sponsors
    We would like to thank the 2015 sponsors of the CSIM Consortium (http://csim.kaust.edu.sa/web/) for their financial support. The computation resource provided by the high performance computing (HPC) center of King Abdullah University of Science and Technology (KAUST) is greatly appreciated.
    Publisher
    Society of Exploration Geophysicists
    Journal
    SEG Technical Program Expanded Abstracts 2016
    Conference/Event name
    SEG International Exposition and 86th Annual Meeting, SEG 2016
    DOI
    10.1190/segam2016-13863861.1
    Additional Links
    http://library.seg.org/doi/10.1190/segam2016-13863861.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/segam2016-13863861.1
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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