Hydraulic conductivity estimation from induced polarisation data at the field scale — the Krauthausen case history

Hördt, Andreas; Blaschek, R.; Kemna, Andreas; Zisser, Norbert

doi:10.1016/j.jappgeo.2006.08.001

Cited by 106 publications

(85 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Indeed, in the context of the discussed model, the grain radius r eff in equation (33) is an effective grain radius of the broad grain size distribution (see Revil and Florsch [2010] for a derivation of equation (33)). Note that s CPA is not only a function of the hydraulic length scale (or grain size) but also a function of the formation factor (or effective porosity), which might indicate a basic inapplicability of the procedure in permeability estimation as suggested by Börner et al [1996] and widely used by others [e.g., Kemna et al, 2004;Hördt et al, 2007Hördt et al, , 2009]. …”

Section: Zisser Et Al: Temperature Dependence Of Sip B09214 B09214mentioning

confidence: 99%

Dependence of spectral‐induced polarization response of sandstone on temperature and its relevance to permeability estimation

Zisser¹,

Kemna²,

Nover³

2010

J. Geophys. Res.

View full text Add to dashboard Cite

[1] The possibility to estimate permeability from the electrical spectral induced polarization (SIP) response might be the most important benefit offered by SIP measurements. It can thus be deduced that, in the future, SIP measurements will be carried out more frequently at the field scale or in a well-logging context to estimate permeability. In the shallow subsurface, however, the temperature generally exhibits seasonal variability, and in the deeper subsurface, it usually increases with depth. Hence, knowledge about the dependence of the SIP response on temperature is necessary in order to avoid possible misinterpretation of datasets impacted by thermal effects. In our study, we present a semiempirical framework to describe the temperature dependence of the SIP response. We briefly introduce the SIP response and its relation to permeability in terms of an electrochemical polarization mechanism and combine this formulation with relationships for the dependence of ionic mobility on temperature. We compare the predictions of our formulation with the experimental data from SIP measurements performed on sandstone at temperatures from 0°C to 80°C. The measured SIP response was transformed into a relaxation time distribution, using the empirical Cole-Cole model and a regularized Debye decomposition procedure. The SIP response was found to be in good agreement with the theoretical model. The temperature dependence of both direct current conductivity and relaxation time is controlled mainly by the dependence of ionic mobility on temperature, and the shape of the relaxation time distribution of the investigated sandstone is almost independent of temperature. The temperature effect on the SIP response can therefore be easily corrected.Citation: Zisser, N., A. Kemna, and G. Nover (2010), Dependence of spectral-induced polarization response of sandstone on temperature and its relevance to permeability estimation,

show abstract

Section: Zisser Et Al: Temperature Dependence Of Sip B09214 B09214mentioning

confidence: 99%

Dependence of spectral‐induced polarization response of sandstone on temperature and its relevance to permeability estimation

Zisser¹,

Kemna²,

Nover³

2010

J. Geophys. Res.

View full text Add to dashboard Cite

show abstract

“…In particular, induced polarization (IP) and spectral induced polarization (SIP) measurements represent promising methods. A clear link between hydrological properties and IP/SIP parameters has been empirically documented by various studies (e.g., Börner et al, 1996;Slater and Lesmes, 2002;Kemna et al, 2004;Binley et al, 2005;Hördt et al, 2007;Slater, 2007). However, recent studies by Binley et al (2010), Kruschwitz et al (2010), and Titov et al (2010) also point out that the detailed nature and origin of such linkages remain enigmatic.…”

Section: Introductionmentioning

confidence: 96%

Impact of changes in grain size and pore space on the hydraulic conductivity and spectral induced polarization response of sand

Koch

Kemna

Irving

et al. 2011

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Understanding the influence of pore space characteristics on the hydraulic conductivity and spectral induced polarization (SIP) response is critical for establishing relationships between the electrical and hydrological properties of surficial unconsolidated sedimentary deposits, which host the bulk of the world's readily accessible groundwater resources. Here, we present the results of laboratory SIP measurements on industrial-grade, saturated quartz samples with granulometric characteristics ranging from fine sand to fine gravel. We altered the pore space characteristics by changing (i) the grain size spectra, (ii) the degree of compaction, and (iii) the level of sorting. We then examined how these changes affect the SIP response, the hydraulic conductivity, and the specific surface area of the considered samples. In general, the results indicate a clear connection between the SIP response and the granulometric as well as pore space characteristics. In particular, we observe a systematic correlation between the hydraulic conductivity and the relaxation time of the Cole-Cole model describing the observed SIP effect for the entire range of considered grain sizes. The results do, however, also indicate that the detailed nature of these relations depends strongly on variations in the pore space characteristics, such as, for example, the degree of compaction. This underlines the complexity of the origin of the SIP signal as well as the difficulty to relate it to a single structural factor of a studied sample, and hence raises some fundamental questions with regard to the practical use of SIP measurements as site-and/or sample-independent predictors of the hydraulic conductivity.

show abstract

“…There is a growing interest in the use of SIP for a wide range of environmental applications, in particular those focused on hydrogeological investigations. A clear link between hydrogeological properties and IP/SIP parameters has been empirically documented by various studies (e.g., Binley et al, 2005;and Hördt et al, 2007). Binley et al (2010), and Titov et al (2010) also pointed out that the understanding of the detailed nature and origin of such linkages still lies ahead.…”

Section: Introductionmentioning

confidence: 92%

“…Empirical and semiempirical relationships have been established in terms of power law relations between various aquifer parameters and those obtained by resistivity measurements (e.g., Attwa et al, 2009). Because the hydraulic parameters depend on the porosity and the geometry of the pore space, K cannot be uniquely determined by DC resistivity alone without further assumptions (Hördt et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Spectral induced polarization measurements for predicting the hydraulic conductivity in sandy aquifers

Attwa

Günther

2013

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Field and laboratory spectral induced polarization (SIP) measurements are integrated to characterize the hydrogeological conditions at the Schillerslage test site in Germany. The phase images are capable of monitoring thin peat layers within the sandy aquifers. However, the field results show limitations of decreasing resolution with depth. In comparison with the field inversion results, the SIP laboratory measurements show a certain shift in SIP response due to different compaction and sorting of the samples. The SIP data are analyzed to derive an empirical relationship for predicting the hydraulic conductivity (K). In particular, two significant but weak correlations between individual real resistivities (ρ ) and relaxation times (τ ), based on a Debye decomposition (DD) model, with measured K are found for the upper groundwater aquifer. The maximum relaxation time (τ max ) and logarithmically weighted average relaxation time (τ lw ) show a better relation with K values than the median value τ 50 . A combined power law relation between individual ρ and τ with K is developed with an expression of A · (ρ ) B · (τ lw ) C , where A, B and C are determined using a least-squares fit between the measured and predicted K. The suggested approach with the calculated coefficients of the first aquifer is applied for the second. Results show good correlation with the measured K indicating that the derived relationship is superior to single phase angle models as Börner or Slater models.

show abstract

Hydraulic conductivity estimation from induced polarisation data at the field scale — the Krauthausen case history

Cited by 106 publications

References 25 publications

Dependence of spectral‐induced polarization response of sandstone on temperature and its relevance to permeability estimation

Dependence of spectral‐induced polarization response of sandstone on temperature and its relevance to permeability estimation

Impact of changes in grain size and pore space on the hydraulic conductivity and spectral induced polarization response of sand

Spectral induced polarization measurements for predicting the hydraulic conductivity in sandy aquifers

Contact Info

Product

Resources

About