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    Efficient wavefield inversion in acoustic VTI media applied to field data

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    Efficient wavefield inversion in acoustic VTI media applied to field data.pdf
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    2.470Mb
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    PDF
    Description:
    Accepted manuscript
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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
    2019-08-10
    Permanent link to this record
    http://hdl.handle.net/10754/661914
    
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    Abstract
    Full-waveform inversion (FWI) is now often used to retrieve high-resolution velocity models in marine datasets. Directly matching the predicted data with the recorded ones at the sensor locations, results in a highly nonlinear optimization problem. Besides its inherent high nonlinearity (manifested in one form in the cycle-skipping problem), considering the anisotropic reality of the true Earth, a multi-parameter inversion imposes additional Null space and the tradeoff issues. To solve these problems, we formulate an optimization problem referred to as an efficient wavefield inversion (EWI) to retrieve multi-parameters. EWI uses background models to reconstruct the wavefield efficiently by introducing an enhanced source function (which includes secondary sources). In this setup, the inversion for the wavefield is linear and efficient. The anisotropic parameters are inverted in a separate direct optimization using the wavefield and the enhanced source function in an efficient matter (no modeling involved). We demonstrate the effectiveness of the proposed method on an Australian marine real data, and compare inverted results with check shot velocity information from a well.
    Citation
    Song, C., & Alkhalifah, T. (2019). Efficient wavefield inversion in acoustic VTI media applied to field data. SEG Technical Program Expanded Abstracts 2019. doi:10.1190/segam2019-3211288.1
    Sponsors
    We thank KAUST for sponsoring this research. We thank our SWAG colleagues for their helpful suggestions, especially Mahesh Kalita for providing the initial velocity model. This work utilized the resources of the Supercomputing Laboratory at King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia, and we are grateful for that.
    Publisher
    Society of Exploration Geophysicists
    Conference/Event name
    Society of Exploration Geophysicists International Exposition and Annual Meeting 2019, SEG 2019
    DOI
    10.1190/segam2019-3211288.1
    Additional Links
    https://library.seg.org/doi/10.1190/segam2019-3211288.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/segam2019-3211288.1
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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