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    Local-crosscorrelation elastic full-waveform inversion

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    Type
    Article
    Authors
    Zhang, Zhendong cc
    Alkhalifah, Tariq Ali cc
    KAUST Department
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Seismic Wave Analysis Group
    Date
    2019-08-23
    Submitted Date
    2018-09-17
    Permanent link to this record
    http://hdl.handle.net/10754/661503
    
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    Abstract
    Full-waveform inversion (FWI) in its classic form is a method based on minimizing the [Formula: see text] norm of the difference between the observed and simulated seismic waveforms at the receiver locations. The objective is to find a subsurface model that reproduces the full waveform including the traveltimes and amplitudes of the observed seismic data. However, the widely used [Formula: see text]-norm-based FWI faces many issues in practice. The point-wise comparison of waveforms fails when the phase difference between the compared waveforms of the predicted and observed data is larger than a half-cycle. In addition, amplitude matching is impractical considering the simplified physics that we often use to describe the medium. To avoid these known problems, we have developed a novel elastic FWI algorithm using the local-similarity attribute. It compares two traces within a predefined local time extension; thus, is not limited by the half-cycle criterion. The algorithm strives to maximize the local similarities of the predicted and observed data by stretching/squeezing the observed data. Phases instead of amplitudes of the seismic data are used in the comparison. The algorithm compares two data sets locally; thus, it performs better than the global correlation in matching multiple arrivals. Instead of picking/calculating one stationary stretching/squeezing curve, we used a weighted integral to find all possible stationary curves. We also introduced a polynomial-type weighting function, which is determined only by the predefined maximum stretching/squeezing and is guaranteed to be smoothly varying within the extension range. Compared with the previously used Gaussian or linear weighting functions, our polynomial one has fewer parameters to play around with. A modified synthetic elastic Marmousi model and the North Sea field data are used to verify the effectiveness of the developed approach and also reveal some of its limitations.
    Citation
    Zhang, Z., & Alkhalifah, T. (2019). Local-crosscorrelation elastic full-waveform inversion. GEOPHYSICS, 84(6), R897–R908. doi:10.1190/geo2018-0660.1
    Sponsors
    We thank Y. Liu and Z. Wu for their helpful discussions. We also thank Y. Liu, W. Weibull, and two anonymous reviewers for the effort put into their review of this paper. We thank the King Abdullah University of Science & Technology (KAUST) for its support and specifically the seismic wave analysis group members for their valuable insights. We thank Equinor and the former Volve license partners ExxonMobil E & P Norway AS and Bayerngas Norge AS for the release of the Volve data. The views expressed in this paper are the views of the authors and do not necessarily reflect the views of Equinor and the former Volve field license partners. For computer time, this research used the resources of the Supercomputing Laboratory at KAUST in Thuwal, Saudi Arabia.
    Publisher
    Society of Exploration Geophysicists
    Journal
    GEOPHYSICS
    DOI
    10.1190/geo2018-0660.1
    Additional Links
    http://mr.crossref.org/iPage?doi=10.1190%2Fgeo2018-0660.1
    https://library.seg.org/doi/10.1190/geo2018-0660.1
    ae974a485f413a2113503eed53cd6c53
    10.1190/geo2018-0660.1
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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