Permeability Estimation Directly From Logging-While-Drilling Induced Polarization Data

G. Fiandaca*, P.K. Maurya, Nicola Balbarini, A. Hördt, A.V. Christiansen, N. Foged, Poul Løgstrup Bjerg, E. Auken

*Corresponding author for this work

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Abstract

In this study we present the prediction of permeability from time‐domain spectral induced polarization (IP) data, measured in boreholes on undisturbed formations using the El‐log logging‐while‐drilling technique. We collected El‐log data and hydraulic properties on unconsolidated Quaternary and Miocene deposits in boreholes at three locations at a field site in Denmark, characterized by different electrical water conductivity and chemistry. The high vertical resolution of the El‐log technique matches the lithological variability at the site, minimizing ambiguity in the interpretation originating from resolution issues. The permeability values were computed from IP data using a laboratory‐derived empirical relationship presented in a recent study for saturated unconsolidated sediments, without any further calibration. A very good correlation, within one order of magnitude, was found between the IP‐derived permeability estimates and those derived using grain size analyses and slug‐tests, with similar depth‐trends and permeability contrasts. Furthermore, the effect of water conductivity on the IP‐derived permeability estimations was found negligible in comparison to the permeability uncertainties estimated from the inversion and the laboratory‐derived empirical relationship.
Original languageEnglish
JournalWater Resources Research
Volume54
Issue number4
Pages (from-to)2851-2870
ISSN0043-1397
DOIs
Publication statusPublished - 2018

Cite this

Fiandaca, G., Maurya, P. K., Balbarini, N., Hördt, A., Christiansen, A. V., Foged, N., ... Auken, E. (2018). Permeability Estimation Directly From Logging-While-Drilling Induced Polarization Data. Water Resources Research, 54(4), 2851-2870. https://doi.org/10.1002/2017WR022411
Fiandaca, G. ; Maurya, P.K. ; Balbarini, Nicola ; Hördt, A. ; Christiansen, A.V. ; Foged, N. ; Bjerg, Poul Løgstrup ; Auken, E. / Permeability Estimation Directly From Logging-While-Drilling Induced Polarization Data. In: Water Resources Research. 2018 ; Vol. 54, No. 4. pp. 2851-2870.
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title = "Permeability Estimation Directly From Logging-While-Drilling Induced Polarization Data",
abstract = "In this study we present the prediction of permeability from time‐domain spectral induced polarization (IP) data, measured in boreholes on undisturbed formations using the El‐log logging‐while‐drilling technique. We collected El‐log data and hydraulic properties on unconsolidated Quaternary and Miocene deposits in boreholes at three locations at a field site in Denmark, characterized by different electrical water conductivity and chemistry. The high vertical resolution of the El‐log technique matches the lithological variability at the site, minimizing ambiguity in the interpretation originating from resolution issues. The permeability values were computed from IP data using a laboratory‐derived empirical relationship presented in a recent study for saturated unconsolidated sediments, without any further calibration. A very good correlation, within one order of magnitude, was found between the IP‐derived permeability estimates and those derived using grain size analyses and slug‐tests, with similar depth‐trends and permeability contrasts. Furthermore, the effect of water conductivity on the IP‐derived permeability estimations was found negligible in comparison to the permeability uncertainties estimated from the inversion and the laboratory‐derived empirical relationship.",
author = "G. Fiandaca and P.K. Maurya and Nicola Balbarini and A. H{\"o}rdt and A.V. Christiansen and N. Foged and Bjerg, {Poul L{\o}gstrup} and E. Auken",
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Fiandaca, G, Maurya, PK, Balbarini, N, Hördt, A, Christiansen, AV, Foged, N, Bjerg, PL & Auken, E 2018, 'Permeability Estimation Directly From Logging-While-Drilling Induced Polarization Data', Water Resources Research, vol. 54, no. 4, pp. 2851-2870. https://doi.org/10.1002/2017WR022411

Permeability Estimation Directly From Logging-While-Drilling Induced Polarization Data. / Fiandaca, G.; Maurya, P.K.; Balbarini, Nicola; Hördt, A.; Christiansen, A.V.; Foged, N.; Bjerg, Poul Løgstrup; Auken, E.

In: Water Resources Research, Vol. 54, No. 4, 2018, p. 2851-2870.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Permeability Estimation Directly From Logging-While-Drilling Induced Polarization Data

AU - Fiandaca, G.

AU - Maurya, P.K.

AU - Balbarini, Nicola

AU - Hördt, A.

AU - Christiansen, A.V.

AU - Foged, N.

AU - Bjerg, Poul Løgstrup

AU - Auken, E.

PY - 2018

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N2 - In this study we present the prediction of permeability from time‐domain spectral induced polarization (IP) data, measured in boreholes on undisturbed formations using the El‐log logging‐while‐drilling technique. We collected El‐log data and hydraulic properties on unconsolidated Quaternary and Miocene deposits in boreholes at three locations at a field site in Denmark, characterized by different electrical water conductivity and chemistry. The high vertical resolution of the El‐log technique matches the lithological variability at the site, minimizing ambiguity in the interpretation originating from resolution issues. The permeability values were computed from IP data using a laboratory‐derived empirical relationship presented in a recent study for saturated unconsolidated sediments, without any further calibration. A very good correlation, within one order of magnitude, was found between the IP‐derived permeability estimates and those derived using grain size analyses and slug‐tests, with similar depth‐trends and permeability contrasts. Furthermore, the effect of water conductivity on the IP‐derived permeability estimations was found negligible in comparison to the permeability uncertainties estimated from the inversion and the laboratory‐derived empirical relationship.

AB - In this study we present the prediction of permeability from time‐domain spectral induced polarization (IP) data, measured in boreholes on undisturbed formations using the El‐log logging‐while‐drilling technique. We collected El‐log data and hydraulic properties on unconsolidated Quaternary and Miocene deposits in boreholes at three locations at a field site in Denmark, characterized by different electrical water conductivity and chemistry. The high vertical resolution of the El‐log technique matches the lithological variability at the site, minimizing ambiguity in the interpretation originating from resolution issues. The permeability values were computed from IP data using a laboratory‐derived empirical relationship presented in a recent study for saturated unconsolidated sediments, without any further calibration. A very good correlation, within one order of magnitude, was found between the IP‐derived permeability estimates and those derived using grain size analyses and slug‐tests, with similar depth‐trends and permeability contrasts. Furthermore, the effect of water conductivity on the IP‐derived permeability estimations was found negligible in comparison to the permeability uncertainties estimated from the inversion and the laboratory‐derived empirical relationship.

U2 - 10.1002/2017WR022411

DO - 10.1002/2017WR022411

M3 - Journal article

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EP - 2870

JO - Water Resources Research

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SN - 0043-1397

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Fiandaca G, Maurya PK, Balbarini N, Hördt A, Christiansen AV, Foged N et al. Permeability Estimation Directly From Logging-While-Drilling Induced Polarization Data. Water Resources Research. 2018;54(4):2851-2870. https://doi.org/10.1002/2017WR022411