1887

Abstract

Summary

A data mining algorithm was tested in order to jointly interpret electrical tomography and seismic refraction profiles. As a first step, the geophysical profiles used are numerical ones before applying this approach to real measurements data in further studies.

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/content/papers/10.3997/2214-4609.201902408
2019-09-08
2020-07-04
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References

  1. Doetsch, J., Linde, N., Coscia, I., Greenhalgh, S. A., and Green, A. G.
    [2010] Zonation for 3D aquifer characterization based on joint inversions of multimethod crosshole geophysical data. Geophysics, 75(6), 53–64.
    [Google Scholar]
  2. Ester, M., Kriegel, H., Xu, X., and Sander, J.
    [1996] A density-based algorithm for discovering clusters in large spatial databases with noise. Association for the Advancement of Artificial Intelligence.
    [Google Scholar]
  3. Gallardo, L. A., and Meju, M. A.
    [2003] Characterization of heterogeneous near-surface materials by joint 2D inversion of DC resistivity and seismic data. Geophysical Research Letters, 30(13), 2–5.
    [Google Scholar]
  4. Hansen, C.
    [1992] Analysis of discrete ill-posed problems. Society for Industrial and Applied Mathematics, 34(4), 561–580.
    [Google Scholar]
  5. Looms, M. C., Binley, A., Jensen, K. H., Nielsen, L., and Hansen, T. M.
    [2008] Identifying Unsaturated Hydraulic Parameters Using an Integrated Data Fusion Approach on Cross-Borehole Geophysical Data. Vadose Zone Journal, 7(1), 238.
    [Google Scholar]
  6. Pedregosa, F., Weiss, R., and Brucher, M.
    [2011] Scikit-learn : Machine Learning in Python. Journal of Machine Learning Research, 12, 2825–2830.
    [Google Scholar]
  7. Rücker, C., Günther, T., and Spitzer, K.
    [2006] Three-dimensional modelling and inversion of DC resistivity data incorporating topography- II. Inversion. Geophysical Journal International, 166(2), 495–505.
    [Google Scholar]
  8. Rücker, C., Günther, T., and Wagner, F. M.
    [2017] pyGIMLi: An open-source library for modelling and inversion in geophysics. Computers and Geosciences, 109, 106–123.
    [Google Scholar]
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