• DocumentCode
    83297
  • Title

    An Adjoint-Based Hybrid Computational Method for Crosswell Seismic Inversion

  • Author

    Danping Cao ; Wenyuan Liao

  • Author_Institution
    China Univ. of Pet., Huadong, China
  • Volume
    16
  • Issue
    6
  • fYear
    2014
  • fDate
    Nov.-Dec. 2014
  • Firstpage
    60
  • Lastpage
    67
  • Abstract
    Waveform tomography, or full waveform inversion (FWI), is in general better than ray tomography; however, a reliable initial model is usually required to ensure success. Here, the authors designed a cascade-like hybrid tomography technology to solve the crosswell seismic inversion problem. The new method is a combination of several widely used tomography technologies, implemented in a sequence, where the cheaper method is used as the initial model feeder for the more expensive method. They start with the Radon-transform-based back-projection method; then the Linear Iterative Reconstruction method, such as selective internal radiation therapy, is adopted to update this initial model; which is further improved by the nonlinear, Gradient-based Eikonal Equation Tomography method. Finally, the velocity model reconstructed from the previous multiple ray tomography methods is used as the initial model for the FWI.
  • Keywords
    Radon transforms; conjugate gradient methods; geophysical techniques; geophysics computing; nonlinear equations; seismology; FWI; Radon-transform-based back-projection method; adjoint-based hybrid computational method; cascade-like hybrid tomography technology; crosswell seismic inversion problem; full-waveform inversion; linear iterative reconstruction method; nonlinear-gradient-based Eikonal equation tomography method; ray tomography methods; selective internal radiation therapy; velocity model reconstruction; waveform tomography; Computational modeling; Iterative methods; Mathematical model; Numerical models; Seismic measurements; Subspace constraints; Tomography; FWI; GEET; LIR; algorithm design; back projection; inverse problem; numerical algorithm; ray tomography; scientific computing; waveform tomography;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2014.1
  • Filename
    6728939