1887

Abstract

Summary

Seismic and electrical resistivity tomography methods are recognized as powerful tools to investigate landslides. The effectiveness of an investigation significantly increases if we can exploit the strengths of the each method and complement this information in a combinative model. In this study, we perform co-operative inversion of the two datasets, seismic reflection and geo-electrical, through a fuzzy clustering technique. In inverting any one dataset alone this method constructs models that include regions relating similar parameters. Most conventional inversion processes tend to use a smoothing criteria to choose to obtain a final solution, but the highly variable physical properties due to the faults and groundwater seeps in our dataset preclude this approach. The co-operative inversion of seismic and geo-electrical data can exploit advantages of the both methods, to build a better model than models inverted from a single dataset alone. Finally, our process can provides the cluster image, namely pseudo-lithology, from the co-operative inversion models of the two methods. This can make interpretation much easier for geologists rather than using the inverted models of petrophysical parameters.

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/content/papers/10.3997/2214-4609.201802633
2018-09-09
2024-03-29
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References

  1. Akca, I.
    [2016] ELRIS2D: A MATLAB Package for the 2D Inversion of DC Resistivity/IP Data, Acta Geophysica, Volume 64, p. 443.
    [Google Scholar]
  2. Bezdek, J. C.
    [1981] Pattern Recognition with Fuzzy Objective Function Algorithms, Kluwer Academic Publishers, 256 p.
    [Google Scholar]
  3. Kieu, D. T., Kepic, A., and Pethick, A. M.
    [2016] Inversion of Magnetotelluric Data with Fuzzy Cluster Petrophysical and Boundary Constraints, 24th European Meeting of Environmental and Engineering Geophysics, Volume 2016: Adelaide, Australia, ASEG, p. 1–6.
    [Google Scholar]
  4. Kieu, T. D., and Kepic, A.
    , [2015a] Incorporating Prior Information into Seismic Impedance Inversion Using Fuzzy Clustering Technique, 24th European Meeting of Environmental and Engineering Geophysics: New Orleans, USA, Society of Exploration Geophysicists.
    [Google Scholar]
  5. Kieu, T. D., and Kepic, A
    , [2015b] Seismic Impedance Inversion with Petrophysical Constraints via the Fuzzy Cluster Method, 24th European Meeting of Environmental and Engineering Geophysics, Volume 2015: Perth, Australia, ASEG, p. 1–4.
    [Google Scholar]
  6. Petrovic, S., Markovic, M., Komatina, S., Suto, K., Burazer, M., and Urosevic, M.
    , [2017], Effective Geophysical Methodology for Investigation of a Complex Landslide System in Valjevo, Serbia, 24th European Meeting of Environmental and Engineering Geophysics, Paris, France, 12–15 June 2017
    [Google Scholar]
  7. Sun, J., and Li, Y.
    [2011] Geophysical inversion using petrophysical constraints with application to lithology differentiation, Expanded Abstracts Annual Meeting, SEG, San Antonio, p. 2644–2648.
    [Google Scholar]
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