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    A Sequential Inversion for the Velocity and the Intrinsic Attenuation Using Efficient Wavefield Inversion

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    Name:
    Viscoacoustic EWI.pdf
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    712.0Kb
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    Description:
    Accepted Manuscript
    Embargo End Date:
    2021-12-30
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    Type
    Conference Paper
    Authors
    Song, Chao cc
    Alkhalifah, Tariq Ali cc
    KAUST Department
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Seismic Wave Analysis Group
    Date
    2020
    Embargo End Date
    2021-12-30
    Permanent link to this record
    http://hdl.handle.net/10754/668220
    
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    Abstract
    Full-waveform inversion (FWI) has become a popular method to retrieve high-resolution subsurface model parameters. An accurate simulation of wave propagation plays an important role in achieving better data fitting. For intrinsically attenuative media, wave propagation experiences dispersion and loss of energy. Thus, it is sometimes crucial to consider the intrinsic attenuation of the Earth in the FWI implementation. Viscoacoustic FWI aims at achieving a joint inversion of the velocity and attenuative models. However, multiparameter FWI imposes additional challenges including expanding the null space problem and the parameter trade-off issue. We use an efficient wavefield inversion (EWI) method to invert for the velocity and the intrinsic attenuation, sequentially. This approach is implemented in the frequency domain, and the velocity, in this case, is complex-valued in the viscoacoustic EWI. The inversion for the velocity and the intrinsic attenuation is handled in separate optimizations. As viscoacoustic EWI is able to recover a good velocity model, the velocity update leakage to the Q model is largely reduced. We show the effectiveness of this approach using synthetic data generated for a viscoacoustic Marmousi model.
    Citation
    Song, C., & Alkhalifah, T. (2020). A Sequential Inversion for the Velocity and the Intrinsic Attenuation Using Efficient Wavefield Inversion. EAGE 2020 Annual Conference & Exhibition Online. doi:10.3997/2214-4609.202010177
    Sponsors
    We thank KAUST for its support and the SWAG group for the collaborative environment. We thank the Center for Subsurface Imaging and Modeling (CSIM) group releasing the viscoacoustic Marmousi model.
    Publisher
    EAGE Publications
    Conference/Event name
    EAGE2020: Annual Conference Online
    DOI
    10.3997/2214-4609.202010177
    Additional Links
    https://www.earthdoc.org/content/papers/10.3997/2214-4609.202010177
    ae974a485f413a2113503eed53cd6c53
    10.3997/2214-4609.202010177
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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