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Abstract

Summary

In this study we present the prediction of hydraulic permeability (k) from time-domain spectral induced polarization (IP) data, measured in boreholes and along 2D surface profiles. The borehole data were collected with the El-log technique, which provides undisturbed “while drilling” measurements of the direct current (DC) resistivity, time-domain IP data and gamma radiation. Data were measured on unconsolidated formations at a landfill site in South Denmark, in three boreholes and along 16 2D profiles.

DC and full-decay IP data were inverted in terms of the BIC re-parameterization of the Cole-Cole model, which present smaller parameter correlations and disentangles bulk and surface conduction. Permeability values were computed from bulk conductivity and the maximum imaginary conductivity, using the empirically-derived formulae presented in a recent study without any calibration. The IP-derived k estimates were compared to those estimated using grain size analysis and slug tests, for a total of 157 comparisons.

A good correlation, on average within one decade, was found between the k estimates over four orders of magnitude, with similar depth-trends. In conclusion, IP can be reliably used for estimating hydraulic permeability on unconsolidated formations at the field scale, using the relations found in the laboratory without any further calibration.

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/content/papers/10.3997/2214-4609.201802549
2018-09-09
2025-01-23

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References

  1. Fiandaca, G., Auken, E., Gazoty, A. & Christiansen, A.V.
    , 2012. Time domain-induced polarization: Full-decay forward modeling and 1D laterally constrained inversion of Cole-Cole parameters, Geophysics, 77, E213–E225.
     [Google Scholar]
  2. Fiandaca, G., Ramm, J., Binley, A., Gazoty, A., Christiansen, A.V.&Auken, E.
    , 2013. Resolving spectral information from time domain induced polarization data through 2-D inversion, Geophys. J. Int., 192, 631–646.
     [Google Scholar]
  3. Fiandaca, G., Christiansen, A.V. & Auken, E.
    , 2015. Depth of Investigation for Multi-Parameters Inversions. 24th European Meeting of Environmental and Engineering Geophysics, 1–4. DOI: 10.3997/2214-4609.201413797.
     [Google Scholar]
  4. Fiandaca, G., Madsen, L. M., & Maurya, P. K.
    , 2018. Re-parameterisations of the Cole-Cole model for improved spectral inversion of induced polarization data. Near Surface Geophysics, in press. Retrieve from http://nsg.eage.org/publication/publicationdetails/?publication=91342; https://doi.org/10.3997/1873-0604.2017065.
     [Google Scholar]
  5. Fiandaca, G., Maurya, P. K., Balbarini, N., Hördt, A., Christiansen, A. V., Foged, N., BjergP.L., AukenE.
    , 2018. Permeability estimation directly from logging-while-drilling induced polarization data. Water Resources Research, 54. https://doi.org/10.1002/2017WR022411
     [Google Scholar]
  6. Olsson, P.-I., Fiandaca, G., Larsen, J.J., Dahlin, T. & Auken, E.
    , 2016. Doubling the spectrum of time-domain induced polarization by harmonic de-noising, drift correction, spike removal, tapered gating and data uncertainty estimation, Geophys. J. Int., 207, 774–784.
     [Google Scholar]
  7. Maurya, P. K., Balbarini, N., Moller, I., Ronde, V., Christiansen, A. V., Bjerg, P. L., AukenE., FiandacaG.
    , 2018. Subsurface imaging of water electrical conductivity, hydraulic permeability and lithology at contaminated sites by induced polarization. Geophysical Journal International, 213(2), 770–785. https://doi.org/10.1093/gji/ggy018.
     [Google Scholar]
  8. Revil, A., and Florsch, N.
    , 2010, Determination of permeability from spectral induced polarization in granular media: Geophysical Journal International, v. 181, no. 3, p. 1480–1498.
     [Google Scholar]
  9. Weller, A., & Slater, L.
    (2012). Salinity dependence of complex conductivity of unconsolidated and consolidated materials: Comparisons with electrical double layer models. Geophysics, 77(5), D185–D198. https://doi.org/10.1190/geo2012-0030.1.
     [Google Scholar]
  10. Weller, A., Slater, L. & Nordsiek, S.
    , 2013. On the relationship between induced polarization and surface conductivity: implications for petrophysical interpretation of electrical measurements, Geophysics, 78, D315–D325.
     [Google Scholar]
  11. Weller, A., Slater, L., Binley, A., Nordsiek, S. & Xu, S.
    , 2015. Permeability prediction based on induced polarization: insights from measurements on sandstone and unconsolidated samples spanning a wide permeability range, Geophysics, 80, D161–D173.
     [Google Scholar]
/content/papers/10.3997/2214-4609.201802549
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Hydraulic Permeability Prediction from Induced Polarization Data at Field Scale
Conference Proceedings 2018, 1 (2018); https://doi.org/10.3997/2214-4609.201802549
/content/papers/10.3997/2214-4609.201802549
/content/papers/10.3997/2214-4609.201802549
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