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    Efficient full waveform inversion using the excitation representation of the source wavefield

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    Type
    Article
    Authors
    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
    2017-05-17
    Online Publication Date
    2017-05-17
    Print Publication Date
    2017-09
    Permanent link to this record
    http://hdl.handle.net/10754/625814
    
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    Abstract
    Full waveform inversion (FWI) is an iterative method of data-fitting, aiming at high-resolution recovery of the unknown model parameters. However, its conventional implementation is a cumbersome process, requiring a long computational time and large memory space/disk storage. One of the reasons for this computational limitation is the gradient calculation step. Based on the adjoint state method, it involves the temporal cross-correlation of the forward propagated sourcewavefield with the backward propagated residuals, inwhichwe usually need to store the source wavefield, or include an extra extrapolation step to propagate the source wavefield from its storage at the boundary. We propose, alternatively, an amplitude excitation gradient calculation based on the excitation imaging condition concept that represents the source wavefield history by a single, specifically the most energetic arrival. An excitation based Born modelling allows us to derive the adjoint operation. In this case, the source wavelet is injected by a cross-correlation step applied to the data residual directly. Representing the source wavefield through the excitation amplitude and time, we reduce the large requirements for both storage and the computational time. We demonstrate the application of this approach on a two-layer model with an anomaly, the Marmousi II model and a marine data set acquired by CGG.
    Citation
    Kalita M, Alkhalifah T (2017) Efficient full waveform inversion using the excitation representation of the source wavefield. Geophysical Journal International 210: 1581–1594. Available: http://dx.doi.org/10.1093/gji/ggx214.
    Sponsors
    For computer time, this research used the resources of the Super-computing Laboratory and IT Research Computing at King Abdullah-University of Science&Technology (KAUST) in Thuwal, Saudi Arabia. The real data shown in this study are proprietary to and provided courtesy of CGG. The well-log information is provided by Geoscience Australia. We are grateful to KAUST for financial support and all the members of seismic wave analysis group (SWAG), especially Christos Tzivanakis, Zedong Wu, Juwon Oh, Yunseok Choi and Vladimir Kazei for their fruitful discussions. In addition, we are especially thankful to Zedong Wu for his assistance in the real data example.
    Publisher
    Oxford University Press (OUP)
    Journal
    Geophysical Journal International
    DOI
    10.1093/gji/ggx214
    Additional Links
    https://academic.oup.com/gji/article-lookup/doi/10.1093/gji/ggx214
    ae974a485f413a2113503eed53cd6c53
    10.1093/gji/ggx214
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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