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    Elastic reflection waveform inversion with variable density

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    segam2017-17723202.1.pdf
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    Description:
    Expanded Abstract
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    Type
    Conference Paper
    Authors
    Li, Yuanyuan cc
    Li, Zhenchun
    Alkhalifah, Tariq Ali cc
    Guo, Qiang
    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/10754/625381
    
    Metadata
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    Abstract
    Elastic full waveform inversion (FWI) provides a better description of the subsurface than those given by the acoustic assumption. However it suffers from a more serious cycle skipping problem compared with the latter. Reflection waveform inversion (RWI) provides a method to build a good background model, which can serve as an initial model for elastic FWI. Therefore, we introduce the concept of RWI for elastic media, and propose elastic RWI with variable density. We apply Born modeling to generate the synthetic reflection data by using optimized perturbations of P- and S-wave velocities and density. The inversion for the perturbations in P- and S-wave velocities and density is similar to elastic least-squares reverse time migration (LSRTM). An incorrect initial model will lead to some misfits at the far offsets of reflections; thus, can be utilized to update the background velocity. We optimize the perturbation and background models in a nested approach. Numerical tests on the Marmousi model demonstrate that our method is able to build reasonably good background models for elastic FWI with absence of low frequencies, and it can deal with the variable density, which is needed in real cases.
    Citation
    Li Y, Li Z, Alkhalifah T, Guo Q (2017) Elastic reflection waveform inversion with variable density. SEG Technical Program Expanded Abstracts 2017. Available: http://dx.doi.org/10.1190/segam2017-17723202.1.
    Sponsors
    We thank KAUST for its support and SWAG for collaborative environment. The authors would like to thank the China Scholarship Council for supporting the study. This research is also sponsored by Fundamental Research Funds for Central Universities (16CX06039A).
    Publisher
    Society of Exploration Geophysicists
    Journal
    SEG Technical Program Expanded Abstracts 2017
    DOI
    10.1190/segam2017-17723202.1
    Additional Links
    http://library.seg.org/doi/10.1190/segam2017-17723202.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/segam2017-17723202.1
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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