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Volume 15 Number 2
  • ISSN: 1569-4445
  • E-ISSN: 1873-0604
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Abstract

ABSTRACT

Complex resistivity imaging provides information on the subsurface distribution of the electrical conduction and polarisation properties. Spectral induced polarisation (SIP) refers to the frequency dependence of these complex resistivity values. Measured SIP signatures are commonly analysed by performing a Cole–Cole model fit or a Debye decomposition, yielding in particular chargeability and relaxation time values. Given the close relation of these parameters with petrophysical properties of relevance in various hydrogeological and environmental applications, it is crucial to understand how well they can be reconstructed from multi‐frequency complex resistivity imaging with subsequent Cole–Cole or Debye decomposition analysis. In this work, we investigate, in a series of numerical simulations, the reconstruction behaviour of the main spectral induced polarisation parameters across a two‐dimensional complex resistivity imaging plane by considering a local anomalous polarisable body at different depths. The different anomaly positions correspond to different cumulated sensitivity (coverage) values, which we find to be a simple and computationally inexpensive proxy for resolution. Our results show that, for single‐frequency measurements, the reconstruction quality of resistivity and phase decreases strongly with decreasing cumulated sensitivity. A similar behaviour is found for the recovery of Cole–Cole and Debye decomposition chargeabilities from multi‐frequency imaging results, while the reconstruction of the Cole–Cole exponent shows non‐uniform dependence over the examined sensitivity range. In contrast, the Cole–Cole and Debye decomposition relaxation times are relatively well recovered over a broad sensitivity range. Our results suggest that a quantitative interpretation of petrophysical properties derived from Cole– Cole or Debye decomposition relaxation times is possible in an imaging framework, while any parameter estimate derived from Cole–Cole or Debye decomposition chargeabilities must be used with caution. These findings are of great importance for a successful quantitative application of spectral induced polarisation imaging for improved subsurface characterisation, which is of interest particularly in the fields of hydrogeophysics and biogeophysics.

© European Association of Geoscientists and Engineers © 2017 European Association of Geoscientists and Engineers
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2016-11-01
2024-04-25

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References

  1. Abdel AalG.Z., AtekwanaE.A., SlaterL.D. and AtekwanaE.A.2004. Effects of microbial processes on electrolytic and interfacial electrical properties of unconsolidated sediments. Geophysical Research Letters31(12).
     [Google Scholar]
  2. AlumbaughD.L. and NewmanG.A.2000. Image appraisal for 2‐D and 3‐D electromagnetic inversion. Geophysics65(5), 1455–1467.
     [Google Scholar]
  3. AtekwanaE.A. and SlaterL.D.2009. Biogeophysics: a new frontier in earth science research. Reviews of Geophysics47(4).
     [Google Scholar]
  4. BinleyA. and KemnaA.2005. DC resistivity and induced polarization methods. In: Hydrogeophysics (eds Y.Rubin and S.Hubbard ), pp. 129–156. Netherlands: Springer.
     [Google Scholar]
  5. BinleyA., SlaterL.D., FukesM. and CassianiG.2005. Relationship between spectral induced polarization and hydraulic properties of saturated and unsaturated sandstone. Water Resources Research41(12), 1–13.
     [Google Scholar]
  6. BörnerF.D., SchopperJ.R. and WellerA.1996. Evaluation of transport and storage properties in the soil and groundwater zone from induced polarization measurements. Geophysical Prospecting44(4), 583–601.
     [Google Scholar]
  7. ColeK.S. and ColeR.H.1941. Dispersion and absorption in dielectrics I. Alternating current characteristics. Journal of Chemical Physics9(4), 341–351.
     [Google Scholar]
  8. DavisC.A., AtekwanaE., AtekwanaE., SlaterL.D., RossbachS. and MormileM.R.2006. Microbial growth and biofilm formation in geologic media is detected with complex conductivity measurements. Geophysical Research Letters33(18).
     [Google Scholar]
  9. Day‐LewisF.D., SinghaK. and BinleyA.M.2005. Applying petrophysical models to radar travel time and electrical resistivity tomograms: resolution‐dependent limitations. Journal of Geophysical Research110(B8).
     [Google Scholar]
  10. Flores OrozcoA., WilliamsK.H., LongP.E., HubbardS.S. and KemnaA.2011. Using complex resistivity imaging to infer biogeochemical processes associated with bioremediation of an uranium‐contaminated aquifer. Journal of Geophysical Research116(G3).
     [Google Scholar]
  11. Flores OrozcoA., KemnaA., OberdörsterC., ZschornackL., LevenC., DietrichP.et al.2012a. Delineation of subsurface hydrocarbon contamination at a former hydrogenation plant using spectral induced polarization imaging. Journal of Contaminant Hydrology136, 131–144.
     [Google Scholar]
  12. Flores OrozcoA., KemnaA. and ZimmermannE.2012b. Data error quantification in spectral induced polarization imaging. Geophysics77(3), E227–E237.
     [Google Scholar]
  13. Flores OrozcoA., WilliamsK.H. and KemnaA.2013. Time‐lapse spectral induced polarization imaging of stimulated uranium bioremediation. Near Surface Geophysics11(5), 531–544.
     [Google Scholar]
  14. Flores OrozcoA., VelimirovicM., ToscoT., KemnaA., SapionH., KlaasN.et al.2015. Monitoring the injection of microscale zerovalent iron particles for groundwater remediation by means of complex electrical conductivity imaging. Environmental Science & Technology49(9), 5593–5600.
     [Google Scholar]
  15. FlorschN., RevilA. and CamerlynckC.2014. Inversion of generalized relaxation time distributions with optimized damping parameter. Journal of Applied Geophysics109, 119–132.
     [Google Scholar]
  16. FriedelS.2003. Resolution, stability and efficiency of resistivity tomography estimated from a generalized inverse approach. Geophysical Journal International153(2), 305–316.
     [Google Scholar]
  17. GüntherT. and MartinT.2016. Spectral two‐dimensional inversion of frequency‐domain induced polarization data from a mining slag heap. Journal of Applied Geophysics135, 436–448.
     [Google Scholar]
  18. HördtA., BlaschekR., KemnaA. and ZisserN.2007. Hydraulic conductivity estimation from induced polarisation data at the field scale—the Krauthausen case history. Journal of Applied Geophysics62(1), 33–46.
     [Google Scholar]
  19. KemnaA.2000. Tomographic inversion of complex resistivity—theory and application. PhD thesis, Ruhr‐Universität Bochum, Germany.
     [Google Scholar]
  20. KemnaA., VanderborghtJ., KulessaB., and VereeckenH.2002. Imaging and characterisation of subsurface solute transport using electrical resistivity tomography (ERT) and equivalent transport models, Journal of Hydrology267, 125–146.
     [Google Scholar]
  21. KemnaA., BinleyA. and SlaterL.2004. Crosshole IP imaging for engineering and environmental applications. Geophysics69(1), 97–107.
     [Google Scholar]
  22. KemnaA., BinleyA., CassianiG., NiederleithingerE., RevilA., SlaterL.et al.2012. An overview of the spectral induced polarization method for near‐surface applications. Near Surface Geophysics10(6), 453–468.
     [Google Scholar]
  23. KemnaA., HuismanJ.A., ZimmermannE., MartinR., ZhaoY., TreichelA.et al.2014. Broadband electrical impedance tomography for subsurface characterization using improved corrections of electromagnetic coupling and spectral regularization. In: Tomography of the Earth’s Crust: From Geophysical Sounding to Real‐Time Monitoring, pp. 1–20. Springer.
     [Google Scholar]
  24. LesmesD.P. and MorganF.D.2001. Dielectric spectroscopy of sedimentary rocks. Journal of Geophysical Research106(B7), 13329–13346.
     [Google Scholar]
  25. LuoY. and ZhangG.1998. Theory and Application of Spectral Induced Polarization. Tulsa: Society of Exploration Geophysicists.
     [Google Scholar]
  26. MwakanyamaleK., SlaterL., BinleyA. and NtarlagiannisD.2012. Lithologic imaging using complex conductivity: lessons learned from the Hanford 300 Area. Geophysics77(6), E397–E409.
     [Google Scholar]
  27. NguyenF., KemnaA., AntonssonA., EngesgaardP., KurasO., OgilvyR.et al.2009. Characterization of seawater intrusion using 2D electrical imaging. Near Surface Geophysics7(5‐6), 377–390.
     [Google Scholar]
  28. NordsiekS. and WellerA.2008. A new approach to fitting induced‐polarization spectra. Geophysics73(6), F235–F245.
     [Google Scholar]
  29. NtarlagiannisD., WilliamsK.H., SlaterL. and HubbardS.2005. Low‐frequency electrical response to microbial induced sulfide precipitation. Journal of Geophysical Research110(G02009).
     [Google Scholar]
  30. OldenburgD.W. and LiY.1999. Estimating depth of investigation in DC resistivity and IP surveys. Geophysics64(2), 403–416.
     [Google Scholar]
  31. PeltonW.H., WardS.H., HallofP.G., SillW.R. and NelsonP.H.1978. Mineral discrimination and removal of inductive coupling with multifrequency IP. Geophysics43(3), 588–609.
     [Google Scholar]
  32. RevilA. and FlorschN.2010. Determination of permeability from spectral induced polarization in granular media. Geophysical Journal International181(3), 1480–1498.
     [Google Scholar]
  33. SlaterL.2007. Near surface electrical characterization of hydraulic conductivity: from petrophysical properties to aquifer geometries—a review. Surveys in Geophysics28(2‐3), 169–197.
     [Google Scholar]
  34. SlaterL. and LesmesD.P.2002. Electrical‐hydraulic relationships observed for unconsolidated sediments. Water Resources Research38(10), 31‐1–31‐13.
     [Google Scholar]
  35. SlaterL. and BinleyA.2006. Synthetic and field‐based electrical imaging of a zerovalent iron barrier: implications for monitoring long‐term barrier performance. Geophysics71(5), B129–B137.
     [Google Scholar]
  36. VanhalaH.1997. Mapping oil‐contaminated sand and till with the spectral induced polarization (SIP) method. Geophysical Prospecting45(2), 303–326.
     [Google Scholar]
  37. WeigandM. and KemnaA.2016a. Multi‐frequency electrical impedance tomography as a non‐invasive tool to characterize and monitor crop root systems. Biogeosciences Discussions2016, 1–31. http://www.biogeosciences‐discuss.net/bg‐2016‐154/.
     [Google Scholar]
  38. WeigandM. and KemnaA.2016b. Debye decomposition of time‐lapse spectral induced polarisation data. Computers and Geosciences86, 34–45.
     [Google Scholar]
  39. WeigandM. and KemnaA.2016c. Relationship between Cole‐Cole model parameters and spectral decomposition parameters derived from SIP data. Geophysical Journal International205, 1414–1419.
     [Google Scholar]
  40. WellerA., SlaterL., NordsiekS. and NtarlagiannisD.2010. On the estimation of specific surface per unit pore volume from induced polarization: a robust empirical relation fits multiple data sets. Geophysics75(4), WA105–WA112.
     [Google Scholar]
  41. WilliamsK.H., KemnaA., WilkinsM.J., DruhanJ., ArntzenE., N’GuessanA.L.et al.2009. Geophysical monitoring of coupled microbial and geochemical processes during stimulated subsurface bioremediation. Environmental Science & Technology43(17), 6717–6723.
     [Google Scholar]
  42. ZanettiC., WellerA., VennetierM. and MériauxP.2011. Detection of buried tree root samples by using geoelectrical measurements: a laboratory experiment. Plant and Soil339(1‐2), 273–283.
     [Google Scholar]
  43. ZisserN., KemnaA. and NoverG.2010. Relationship between low‐frequency electrical properties and hydraulic permeability of low‐permeability sandstones. Geophysics75(3), E131–E141.
     [Google Scholar]
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Reconstruction quality of SIP parameters in multi‐frequency complex resistivity imaging
Near Surface Geophysics 15, 187 (2017); https://doi.org/10.3997/1873-0604.2016050
/content/journals/10.3997/1873-0604.2016050
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