Cross-hole resistivity and seismic tomography methods are powerful tools for the detection of underground openings of various types. Even in cross-hole measurements, the main disadvantage of the geophysical methods still remains and is the uncertainty of the final interpretation. Joined application of both methods and integrated interpretation, can reduce to some degree this uncertainty. In this study, a novel procedure is proposed for the integrated interpretation of cross-hole resistivity and seismic tomography measurements, based on Unified Geophysical Model (U.G.M) approach and Model stacking Technique. This new processing and interpretation procedure is evaluating for its effectiveness on synthetic examples. The post clustering “full most” models of Arithmetic U.G.M. approach delineate the targets accurately, with greater resolution and with the presence of fewer artifacts. The calculation of correlation coefficient and real rms error indexes proved mathematically the improvement of the post clustering inverted models in comparison to pre clustering inverted models.


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  1. Leontarakis, K.
    , 2011. “Geophysical prospection within boreholes and tunnels” National Technical University of Athens, Phd thesis (in Greek).
    [Google Scholar]
  2. Leontarakis, K., Apostolopoulos, G.V.
    , 2012. Laboratory study of the cross-hole resistivity tomography: the Model Stacking (MOST) Technique. Journal of Applied Geophysics80, 67–82.
    [Google Scholar]
  3. , 2013. Model Stacking (MOST) technique applied in cross-hole ERT field data for the detection of Thessaloniki ancient walls’ depth. Journal of Applied Geophysics93, 101–113.
    [Google Scholar]
  4. OrfanosC.
    , 2011. “Integrated Geophysical subsurface exploration to locate underground openings”, National Technical University of Athens, Phd thesis (in Greek).
    [Google Scholar]
  5. OrfanosC. and ApostolopoulosG.
    , 2013. “Multiparameter analysis of geophysical methods for target detection: The unified geophysical model approach”, Geophysics78, No. 6, p. IM1–IM13.
    [Google Scholar]
  6. Paasche, H., TronickeJ., HolligerK., GreenA., and MaurerH.
    , 2006. Integration of diverse physical-property models: Subsurface zonation and petrophysical parameter estimation based on fuzzy c-means cluster analyses: Geophysics, 71, no. 3, H33–H44.
    [Google Scholar]
  7. PaascheH and TronickeJ
    , 2007. Cooperative inversion of 2D geophysical data sets: a zonal approach based on fuzzy c-means cluster analysis, Geophysics72.
    [Google Scholar]

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