1887

Abstract

Summary

The methods of integrated interpretation of multiphysics geophysical data have been advanced considerably in recent years. One widely used approach is based on imposing so-called structural constraints. The concept itself and its numerical implementation, known as the cross-gradient inversion, have been introduced in seminal paper by . For a recent review we refer to Moorkamp et al. (2016). The method and its numerous variants possess some limitations, such as non-uniqueness, non-linearity of the resulting model functional and difficulties to extend this approach to more than two physical properties. For these reasons, we develop another approach to the joint inversion based on the Gramian constraints (Zhdanov et al, 2012). This approach uses a very general mathematical formulation, which makes it possible to impose different types of constraints on the jointly inverted model parameters, including the structural constraint as a special case. One important advantage of this approach over the cross-gradient method is that, it results in a quadratic model functional that can be readily generalized on any number of physical domains.

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/content/papers/10.3997/2214-4609.201802726
2018-09-09
2024-03-29
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References

  1. Gallardo, L. A., and Meju, M. A.
    [2003a], Characterisation of heterogeneous near-surface materials by joint 2D inversion of DC resistivity and seismic data, Geophys. Res. Lett., 30(13), 1658–1661.
    [Google Scholar]
  2. Meju, M.A., and Gallardo, L.A.
    [2003b] Evidence for correlation of electrical resistivity and seismic velocity in heterogeneous near-surface materials, Geophys. Res. Lett., 30(7).
    [Google Scholar]
  3. Malovichko, M., Khokhlov, N., Yavich, N., Zhdanov, M.
    [2017a] Approximate solutions of acoustic 3D integral equation and their application to seismic modeling and full-waveform inversion, Journal of Computational Physics, 346, pp. 318–339.
    [Google Scholar]
  4. Malovichko, M.S., Yavich, N.B., and Zhdanov, M.S
    [2017b]. Integrating electrical conductivity in 3D seismic inversion with Gramian constraints, 79th EAGE Conference and Exhibition 2017.
    [Google Scholar]
  5. Malovichko, M., Khokhlov, N., Yavich, N., Zhdanov, M.
    [2018] Acoustic 3D modeling by the method of integral equations, Computers & Geosciences, Volume 111, February 2018, Pages 223–234.
    [Google Scholar]
  6. Moorkamp, M., Lelièvre, P. G., Linde, N. and Khan, A.
    [2016]. Integrated Imaging of the Earth: Theory and Applications, Geophysical Monograph218, First Edition.
    [Google Scholar]
  7. ZhdanovM.S., GribenkoA., WilsonG.
    [2012] Generalized joint inversion of multimodal geophysical data using Gramian constraints. Geophysical research letters, vol.39, 2012.
    [Google Scholar]
  8. Zhdanov, M.S., Endo, M., Cuma, M., Sunwall, D., Malmberg, J-A, McKay, A., Tshering, T., and Midgley, J.
    , [2016], Large-scale seismically guided anisotropic inversion of towed-streamer EM data in the Barents Sea: First Break, Vol., 34, November, 75–79
    [Google Scholar]
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