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

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

In: Water Resources Research, Vol. 54, No. 4, 01.04.2018, p. 2851-2870.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

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Author

Fiandaca, G. ; Maurya, P. K. ; Balbarini, N. ; Hördt, A. ; Christiansen, A. V. ; Foged, N. ; Bjerg, P. L. ; Auken, E. / Permeability Estimation Directly From Logging-While-Drilling Induced Polarization Data. In: Water Resources Research. 2018 ; Vol. 54, No. 4. pp. 2851-2870.

Bibtex

@article{acb4e0a7c1ac4ba3bc2f136438cb3570,
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 1 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.",
keywords = "permeability, spectral inversion, time domain induced polarization",
author = "G. Fiandaca and Maurya, {P. K.} and N. Balbarini and A. H{\"o}rdt and Christiansen, {A. V.} and N. Foged and Bjerg, {P. L.} and E. Auken",
year = "2018",
month = apr,
day = "1",
doi = "10.1002/2017WR022411",
language = "English",
volume = "54",
pages = "2851--2870",
journal = "Water Resources Research",
issn = "0043-1397",
publisher = "Wiley-Blackwell Publishing, Inc.",
number = "4",

}

RIS

TY - JOUR

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

AU - Fiandaca, G.

AU - Maurya, P. K.

AU - Balbarini, N.

AU - Hördt, A.

AU - Christiansen, A. V.

AU - Foged, N.

AU - Bjerg, P. L.

AU - Auken, E.

PY - 2018/4/1

Y1 - 2018/4/1

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 1 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 1 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.

KW - permeability

KW - spectral inversion

KW - time domain induced polarization

U2 - 10.1002/2017WR022411

DO - 10.1002/2017WR022411

M3 - Journal article

AN - SCOPUS:85045345361

VL - 54

SP - 2851

EP - 2870

JO - Water Resources Research

JF - Water Resources Research

SN - 0043-1397

IS - 4

ER -