Characterizing the Self‐Potential Response to Concentration Gradients in Heterogeneous Subsurface Environments

D. J. MacAllister* (Corresponding Author), M. T. Graham, J. Vinogradov, A.P. Butler, M.D. Jackson

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

Self‐potential (SP) measurements can be used to characterize and monitor, in real‐time, fluid movement and behavior in the subsurface. The electrochemical exclusion‐diffusion (EED) potential, one component of SP, arises when concentration gradients exist in porous media. Such concentration gradients are of concern in coastal and contaminated aquifers and oil and gas reservoirs. It is essential that estimates of EED potential are made prior to conducting SP investigations in complex environments with heterogeneous geology and salinity contrasts, such as the UK Chalk coastal aquifer. Here we report repeatable laboratory estimates of the EED potential of chalk and marls using natural groundwater (GW), seawater (SW), deionized (DI) water, and 5 M NaCl. In all cases, the EED potential of chalk was positive (using a GW/SW concentration gradient the EED potential was ca. 14 to 22 mV), with an increased deviation from the diffusion limit at the higher salinity contrast. Despite the relatively small pore size of chalk (ca. 1 μm), it is dominated by the diffusion potential and has a low exclusion efficiency, even at large salinity contrasts. Marl samples have a higher exclusion efficiency which is of sufficient magnitude to reverse the polarity of the EED potential (using a GW/SW concentration gradient the EED potential was ca. −7 to −12 mV) with respect to the chalk samples. Despite the complexity of the natural samples used, the method produced repeatable results. We also show that first order estimates of the exclusion efficiency can be made using SP logs, supporting the parameterization of the model reported in Graham et al. (2018, https://doi.org/10.1029/2018WR022972), and that derived values for marls are consistent with the laboratory experiments, while values derived for hardgrounds based on field data indicate a similarly high exclusion efficiency. While this method shows promise in the absence of laboratory measurements, more rigorous estimates should be made where possible and can be conducted following the experimental methodology reported here.

Original languageEnglish
Pages (from-to)7918-7933
Number of pages16
JournalJournal of Geophysical Research: Solid Earth
Volume1248
Issue number8
Early online date14 Aug 2019
DOIs
Publication statusPublished - Aug 2019

Fingerprint

Calcium Carbonate
chalk
gradients
Seawater
Groundwater
exclusion
seawater
Aquifers
salinity
ground water
groundwater
aquifers
estimates
coastal aquifer
Deionized water
marl
Geology
Parameterization
Pore size
Porous materials

Keywords

  • self-potential
  • exclusion-diffusion potential
  • membrane potential
  • electrochemical potential
  • geoelectric methods
  • groundwater
  • seawater intrusion
  • water resources
  • reservoir monitoring
  • TRANSPORT-PROPERTIES
  • MEMBRANE
  • SIGNALS
  • CHALK
  • INTRUSION
  • CONDUCTIVITY
  • ELECTRODE
  • POROUS-MEDIA
  • DIFFUSION
  • GROUNDWATER

ASJC Scopus subject areas

  • Geochemistry and Petrology
  • Geophysics
  • Earth and Planetary Sciences (miscellaneous)
  • Space and Planetary Science

Cite this

Characterizing the Self‐Potential Response to Concentration Gradients in Heterogeneous Subsurface Environments. / MacAllister, D. J. (Corresponding Author); Graham, M. T.; Vinogradov, J.; Butler, A.P. ; Jackson, M.D.

In: Journal of Geophysical Research: Solid Earth, Vol. 1248, No. 8, 08.2019, p. 7918-7933.

Research output: Contribution to journalArticle

@article{1fabe18eed444c559704fc5c4bc716bf,
title = "Characterizing the Self‐Potential Response to Concentration Gradients in Heterogeneous Subsurface Environments",
abstract = "Self‐potential (SP) measurements can be used to characterize and monitor, in real‐time, fluid movement and behavior in the subsurface. The electrochemical exclusion‐diffusion (EED) potential, one component of SP, arises when concentration gradients exist in porous media. Such concentration gradients are of concern in coastal and contaminated aquifers and oil and gas reservoirs. It is essential that estimates of EED potential are made prior to conducting SP investigations in complex environments with heterogeneous geology and salinity contrasts, such as the UK Chalk coastal aquifer. Here we report repeatable laboratory estimates of the EED potential of chalk and marls using natural groundwater (GW), seawater (SW), deionized (DI) water, and 5 M NaCl. In all cases, the EED potential of chalk was positive (using a GW/SW concentration gradient the EED potential was ca. 14 to 22 mV), with an increased deviation from the diffusion limit at the higher salinity contrast. Despite the relatively small pore size of chalk (ca. 1 μm), it is dominated by the diffusion potential and has a low exclusion efficiency, even at large salinity contrasts. Marl samples have a higher exclusion efficiency which is of sufficient magnitude to reverse the polarity of the EED potential (using a GW/SW concentration gradient the EED potential was ca. −7 to −12 mV) with respect to the chalk samples. Despite the complexity of the natural samples used, the method produced repeatable results. We also show that first order estimates of the exclusion efficiency can be made using SP logs, supporting the parameterization of the model reported in Graham et al. (2018, https://doi.org/10.1029/2018WR022972), and that derived values for marls are consistent with the laboratory experiments, while values derived for hardgrounds based on field data indicate a similarly high exclusion efficiency. While this method shows promise in the absence of laboratory measurements, more rigorous estimates should be made where possible and can be conducted following the experimental methodology reported here.",
keywords = "self-potential, exclusion-diffusion potential, membrane potential, electrochemical potential, geoelectric methods, groundwater, seawater intrusion, water resources, reservoir monitoring, TRANSPORT-PROPERTIES, MEMBRANE, SIGNALS, CHALK, INTRUSION, CONDUCTIVITY, ELECTRODE, POROUS-MEDIA, DIFFUSION, GROUNDWATER",
author = "MacAllister, {D. J.} and Graham, {M. T.} and J. Vinogradov and A.P. Butler and M.D. Jackson",
note = "DJM was supported by NERC CASE studentship NE/I018417/1. Additional support was provided by NERC to MG under the Science and Solutions for a Changing Planet Doctoral Training Partnership, run by the Grantham Institute for Climate Change at Imperial College London. Two anonymous reviewers are thanked for their comments, which greatly helped to improve the manuscript. The authors would also like to thank Southern Water for access to the borehole at Saltdean. Atkins Global and Southern Water are thanked for some additional funding under the NERC CASE studentship. The laboratory components of this work were carried out with support from TOTAL who we gratefully acknowledged. All data supporting the conclusions of this work are available in the supporting information.",
year = "2019",
month = "8",
doi = "10.1029/2019JB017829",
language = "English",
volume = "1248",
pages = "7918--7933",
journal = "Journal of Geophysical Research: Solid Earth",
issn = "2169-9313",
publisher = "Wiley-Blackwell",
number = "8",

}

TY - JOUR

T1 - Characterizing the Self‐Potential Response to Concentration Gradients in Heterogeneous Subsurface Environments

AU - MacAllister, D. J.

AU - Graham, M. T.

AU - Vinogradov, J.

AU - Butler, A.P.

AU - Jackson, M.D.

N1 - DJM was supported by NERC CASE studentship NE/I018417/1. Additional support was provided by NERC to MG under the Science and Solutions for a Changing Planet Doctoral Training Partnership, run by the Grantham Institute for Climate Change at Imperial College London. Two anonymous reviewers are thanked for their comments, which greatly helped to improve the manuscript. The authors would also like to thank Southern Water for access to the borehole at Saltdean. Atkins Global and Southern Water are thanked for some additional funding under the NERC CASE studentship. The laboratory components of this work were carried out with support from TOTAL who we gratefully acknowledged. All data supporting the conclusions of this work are available in the supporting information.

PY - 2019/8

Y1 - 2019/8

N2 - Self‐potential (SP) measurements can be used to characterize and monitor, in real‐time, fluid movement and behavior in the subsurface. The electrochemical exclusion‐diffusion (EED) potential, one component of SP, arises when concentration gradients exist in porous media. Such concentration gradients are of concern in coastal and contaminated aquifers and oil and gas reservoirs. It is essential that estimates of EED potential are made prior to conducting SP investigations in complex environments with heterogeneous geology and salinity contrasts, such as the UK Chalk coastal aquifer. Here we report repeatable laboratory estimates of the EED potential of chalk and marls using natural groundwater (GW), seawater (SW), deionized (DI) water, and 5 M NaCl. In all cases, the EED potential of chalk was positive (using a GW/SW concentration gradient the EED potential was ca. 14 to 22 mV), with an increased deviation from the diffusion limit at the higher salinity contrast. Despite the relatively small pore size of chalk (ca. 1 μm), it is dominated by the diffusion potential and has a low exclusion efficiency, even at large salinity contrasts. Marl samples have a higher exclusion efficiency which is of sufficient magnitude to reverse the polarity of the EED potential (using a GW/SW concentration gradient the EED potential was ca. −7 to −12 mV) with respect to the chalk samples. Despite the complexity of the natural samples used, the method produced repeatable results. We also show that first order estimates of the exclusion efficiency can be made using SP logs, supporting the parameterization of the model reported in Graham et al. (2018, https://doi.org/10.1029/2018WR022972), and that derived values for marls are consistent with the laboratory experiments, while values derived for hardgrounds based on field data indicate a similarly high exclusion efficiency. While this method shows promise in the absence of laboratory measurements, more rigorous estimates should be made where possible and can be conducted following the experimental methodology reported here.

AB - Self‐potential (SP) measurements can be used to characterize and monitor, in real‐time, fluid movement and behavior in the subsurface. The electrochemical exclusion‐diffusion (EED) potential, one component of SP, arises when concentration gradients exist in porous media. Such concentration gradients are of concern in coastal and contaminated aquifers and oil and gas reservoirs. It is essential that estimates of EED potential are made prior to conducting SP investigations in complex environments with heterogeneous geology and salinity contrasts, such as the UK Chalk coastal aquifer. Here we report repeatable laboratory estimates of the EED potential of chalk and marls using natural groundwater (GW), seawater (SW), deionized (DI) water, and 5 M NaCl. In all cases, the EED potential of chalk was positive (using a GW/SW concentration gradient the EED potential was ca. 14 to 22 mV), with an increased deviation from the diffusion limit at the higher salinity contrast. Despite the relatively small pore size of chalk (ca. 1 μm), it is dominated by the diffusion potential and has a low exclusion efficiency, even at large salinity contrasts. Marl samples have a higher exclusion efficiency which is of sufficient magnitude to reverse the polarity of the EED potential (using a GW/SW concentration gradient the EED potential was ca. −7 to −12 mV) with respect to the chalk samples. Despite the complexity of the natural samples used, the method produced repeatable results. We also show that first order estimates of the exclusion efficiency can be made using SP logs, supporting the parameterization of the model reported in Graham et al. (2018, https://doi.org/10.1029/2018WR022972), and that derived values for marls are consistent with the laboratory experiments, while values derived for hardgrounds based on field data indicate a similarly high exclusion efficiency. While this method shows promise in the absence of laboratory measurements, more rigorous estimates should be made where possible and can be conducted following the experimental methodology reported here.

KW - self-potential

KW - exclusion-diffusion potential

KW - membrane potential

KW - electrochemical potential

KW - geoelectric methods

KW - groundwater

KW - seawater intrusion

KW - water resources

KW - reservoir monitoring

KW - TRANSPORT-PROPERTIES

KW - MEMBRANE

KW - SIGNALS

KW - CHALK

KW - INTRUSION

KW - CONDUCTIVITY

KW - ELECTRODE

KW - POROUS-MEDIA

KW - DIFFUSION

KW - GROUNDWATER

UR - https://onlinelibrary.wiley.com/doi/abs/10.1029/2019JB017829

UR - http://www.mendeley.com/research/characterising-selfpotential-sp-response-concentration-gradients-heterogeneous-subsurface-environmen

UR - http://www.scopus.com/inward/record.url?scp=85070770022&partnerID=8YFLogxK

U2 - 10.1029/2019JB017829

DO - 10.1029/2019JB017829

M3 - Article

VL - 1248

SP - 7918

EP - 7933

JO - Journal of Geophysical Research: Solid Earth

JF - Journal of Geophysical Research: Solid Earth

SN - 2169-9313

IS - 8

ER -