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    3D elastic full-waveform inversion for OBC data using the P-wave excitation amplitude

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    Expanded Abstract
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    Type
    Conference Paper
    Authors
    Oh, Juwon cc
    Kalita, Mahesh cc
    Alkhalifah, Tariq Ali cc
    KAUST Department
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Seismic Wave Analysis Group
    Date
    2017-08-17
    Online Publication Date
    2017-08-17
    Print Publication Date
    2017-08-17
    Permanent link to this record
    http://hdl.handle.net/10754/625374
    
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    Abstract
    We suggest a fast and efficient 3D elastic full waveform inversion (FWI) algorithm based on the excitation amplitude (maximum energy arrival) of the P-wave in the source wavefield. It evaluates the gradient direction significantly faster than its conventional counterpart. In addition, it removes the long-wavelength artifacts from the gradient, which are often originated from SS correlation process. From these advantages, the excitation approach offers faster convergence not only for the S wave velocity, but also for the entire process of multi-parameter inversion, compared to the conventional FWI. The feasibility of the proposed method is demonstrated through the synthetic Marmousi and a real OBC data from North Sea.
    Citation
    Oh J-W, Kalita M, Alkhalifah T (2017) 3D elastic full-waveform inversion for OBC data using the P-wave excitation amplitude. SEG Technical Program Expanded Abstracts 2017. Available: http://dx.doi.org/10.1190/segam2017-17722670.1.
    Sponsors
    Research reported in this publication was supported by competitive research funding from King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia. The authors would like to thank Statoil ASA and the Volve license partners ExxonMobil Exploration and Production Norway AS and Bayerngas Norge AS for the release of the Volve data. We would like to thank Marianne Houbiers from Statoil for providing some helpful suggestions and corrections. For computer time, this research used the resources of the Supercomputing Laboratory in KAUST. We thank the members of Seismic Wave Analysis Group (SWAG) in KAUST for helpful discussions.
    Publisher
    Society of Exploration Geophysicists
    Journal
    SEG Technical Program Expanded Abstracts 2017
    DOI
    10.1190/segam2017-17722670.1
    Additional Links
    http://library.seg.org/doi/10.1190/segam2017-17722670.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/segam2017-17722670.1
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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