Imaging hydraulic conductivity in near-surface aquifers by complementing cross-borehole induced polarization with hydraulic experiments

Römhild, L.; Fiandaca, Gianluca; Hu, Linwei; Meyer, L.; Bayer, Peter

doi:10.1016/j.advwatres.2022.104322

Cited by 9 publications

(5 citation statements)

References 91 publications

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“…(2018) and Römhild et al. (2022) have shown that values of K, inferred from surface and sub‐surface geophysical measurements of IP, agree well with values inferred from slug tests in boreholes and grain size analysis (GSA) from sediment samples. Whereas K‐values derived from slug test and GSA only represent a point or an average over the screen length, the cross‐borehole IP inferred K‐method yields a more complete and continuous spatial coverage between the electrode boreholes.…”

Section: Introductionmentioning

confidence: 56%

“…Weller, Slater, Binley, et al (2015) showed that the hydraulic conductivity can correlate strongly with the surface polarization, obtained from the IP measurements, especially for unconsolidated materials. Later studies, including Fiandaca et al (2018b), Levy et al (2022), Maurya et al (2018) and Römhild et al (2022) have shown that values of K, inferred from surface and sub-surface geophysical measurements of IP, agree well with values inferred from slug tests in boreholes and grain size analysis (GSA) from sediment samples. Whereas K-values derived from slug test and GSA only represent a point or an average over the screen length, the cross-borehole IP inferred K-method yields a more complete and continuous spatial coverage between the electrode boreholes.…”

mentioning

confidence: 67%

“…Cross‐borehole induced polarization (IP) data, based on measurements between multiple electrodes installed in boreholes, has the potential to assist and improve CMD‐estimation in heterogeneous aquifers (e.g., Römhild et al., 2022). The IP measurements carry information about the formation chargeability, which is sensitive to the pore‐normalized surface area (Weller, Slater, Binley, et al., 2015).…”

Section: Introductionmentioning

confidence: 99%

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Assessing Contaminant Mass Discharge Uncertainty With Application of Hydraulic Conductivities Derived From Geoelectrical Cross‐Borehole Induced Polarization and Other Methods

Thalund-Hansen

Troldborg

Levy

et al. 2023

Water Resources Research

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A new methodology was developed to support contaminant mass discharge (CMD)‐based risk assessment of groundwater contamination downgradient of point source zones. Geoelectrical cross‐borehole induced polarization (IP) data were collected at a site undergoing in situ remediation of chlorinated solvents for determining 2D hydraulic conductivity (K) distributions with an inversion model resolution of 0.15 m (vertically) x 0.50 m (horizontally) in three control planes from 10‐20 m depth. Additionally, 18 slug tests and 31 grain size distribution analyses (GSA) from the control planes, were used for K‐estimation. The geometric means and variance of the IP, slug test, and GSA derived K‐estimates were consistent with previously studied sandy aquifers. Furthermore, the vertical variation in K between two geological settings, a sandy till and a meltwater sand formation, was clearly identified by the IP K‐estimates. The vertical variation was backed up by hydraulic profiling tool (HPT) measurements. Random realizations of CMD were simulated based on the cross‐borehole IP derived K‐values. For comparison, the CMD was also estimated with a geostatistical conditional simulation approach, using the data from slug tests and GSAs. The high IP resolution captured the small scale variations in K across the transects and led to CMD predictions with a narrow uncertainty interval, whereas slug test and GSA either under‐ or overestimated the magnitude of the areas with the highest CMD. Applying the geophysical cross‐borehole method for estimating K‐distributions in addition to traditional methods would improve CMD‐based risk assessment and evaluation of remediation performance at contaminated sites.This article is protected by copyright. All rights reserved.

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Section: Introductionmentioning

confidence: 56%

mentioning

confidence: 67%

Section: Introductionmentioning

confidence: 99%

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Assessing Contaminant Mass Discharge Uncertainty With Application of Hydraulic Conductivities Derived From Geoelectrical Cross‐Borehole Induced Polarization and Other Methods

Thalund-Hansen

Troldborg

Levy

et al. 2023

Water Resources Research

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“…Petrophysical and hydraulic parameters of groundwater aquifers are crucial elements that must be considered for managing groundwater extraction (Yusuf and Abiye, 2019;Ugbaja et al, 2021;Abbas et al, 2022;Römhild et al, 2022;Yin L. et al, 2023). The evaluation of these parameters is essential for enhancing the accuracy of hydraulic stress prediction (Szűcs et al, 2013;Amiri et al, 2022;Zhu et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…The ideal manner for estimating the hydraulic and petrophysical parameters is by taking core samples from groundwater aquifers during well drilling (Szabó et al, 2015;Khalil et al, 2022;Li et al, 2023;Sang et al, 2023;Yuan et al, 2023). Another approach is pumping tests, which depend on a series of assumptions that occasionally may not be valid (De Clercq et al, 2020;Römhild et al, 2022). It assumes that the aquifer is homogenous, isotropic, and has an infinite extent and neglects groundwater storage during the test (Misstear, 2001).…”

Section: Introductionmentioning

confidence: 99%

Investigation of petrophysical and hydrogeological parameters of the transboundary Nubian Aquifer system using geophysical methods

Mohammed,

Mohamed,

Szabó

et al. 2024

Front. Earth Sci.

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The recent research aims to investigate the petrophysical and hydrogeological parameters of the Nubian aquifer system (NAS) in Northern Khartoum State, Sudan, using integrated geophysical methods, including surface electrical resistivity and geophysical well-logging. The Nubian aquifer is a transboundary regional aquifer that covers vast areas in Sudan, Egypt, Libya and Chad. The well-logs, including self-potential (SP), natural gamma ray (GR), and long normal resistivity (RS), are integrated with Vertical Electrical Sounding (VES) measurements to delineate the hydrostratigraphical units. As a result, two aquifers are detected. An upper aquifer comprises coarse sand with an average thickness of 50 m and a lower aquifer of sandstone with more than 200 m thickness. For a thorough evaluation of the aquifers, in the first stage, the petrophysical and hydrogeological parameters, including formation factor, total and effective porosity, shale volume, hydraulic conductivity, and transmissivity, are measured solely from geophysical well-logs. In the second step, the results of geophysical well logs are combined with VES and pumping test data to detect the spatial variation of the measured parameters over the study area. As a result, the hydraulic conductivity of the Nubian aquifers ranged from 1.9 to 7.8 m/day, while the transmissivity varied between 120 and 733 m2/day. These results indicated that the potentiality of the Nubian formation is high; however, in some regions, due to the sediment heterogeneity, the aquifers have intermediate to high potential. According to the obtained results, it can be concluded that the Nubian Aquifer in Khartoum state is ideal for groundwater development. This research discovered that geophysical approaches can be used to characterize moderately heterogeneous groundwater systems by comparing the Nubian aquifer with similar aquifer systems that have similar hydrogeological settings. This study emphasized the application of universal principles in extrapolating hydraulic parameters in hydrogeophysical surveys. This approach aims to reduce the costs and efforts associated with traditional hydrogeological approaches.

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Experimental investigations on laboratory samples regarding the connection of spectral induced polarization to heterogeneity of hydraulic conductivity

Herold,

Beisembina,

Dietrich

et al. 2024

Environ Earth Sci

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Knowledge of the heterogeneity of aquifers caused by sedimentary processes is essential for preferential flow path and flow time estimations due to the spreading of contaminants and ground water protection. Spectral Induced Polarization (SIP) method is a useful geophysical method that can be used to predict hydraulic properties from surface measurements, as there is a close connection between electrical and hydraulic parameters of rocks. Thus, the influence of aquifer heterogeneities such as sedimentary structures on the relationship between SIP parameters and hydraulic conductivity has been subject of some studies and is still an area of interest. In this paper we present the results of laboratory measurements on defined heterogeneous sand samples with the aim to improve the understanding of that connection. More specifically we investigated the dependence of hydraulic conductivity ($$K$$ K ), as well as several SIP parameters like quadrature conductivity ($${\upsigma }^{{\prime}{\prime}}$$ σ ′ ′ ), in-phase conductivity ($${\upsigma }{^\prime}$$ σ ′ ), phase shift ($$\varphi$$ φ ) and chargeability spectra ($$m(\tau )$$ m ( τ ) ), which were calculated by Debye decomposition, on the composition of samples. For the laboratory experiments a measurement cell was designed to carry out hydraulic flow experiments and 4-electrodes SIP measurements on samples in the decimeter scale. The samples consisted of two different sands with different grain size distributions. The two sands were combined in varying volume shares and geometries as well as in parallel and serial orientation relative to hydraulic and electrical current flow. The experimental results show that the SIP parameters and $$K$$ K are clearly dependent on the volume share of the sand components. In terms of preferential flow paths, known correlations to hydraulic conductivity could be reproduced, however the SIP parameters showed no dependency on the orientation of hydraulic heterogeneities. The results indicate that in samples, where the porosity and thus also the electrical conductivity amplitude are approximately homogeneous and only the grain surface area and hydraulic conductivity vary, the mean electrical parameters determined from the SIP data do not provide any information for recognising preferential flow within the scope of the measurement accuracy.

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Imaging hydraulic conductivity in near-surface aquifers by complementing cross-borehole induced polarization with hydraulic experiments

Cited by 9 publications

References 91 publications

Assessing Contaminant Mass Discharge Uncertainty With Application of Hydraulic Conductivities Derived From Geoelectrical Cross‐Borehole Induced Polarization and Other Methods

Assessing Contaminant Mass Discharge Uncertainty With Application of Hydraulic Conductivities Derived From Geoelectrical Cross‐Borehole Induced Polarization and Other Methods

Investigation of petrophysical and hydrogeological parameters of the transboundary Nubian Aquifer system using geophysical methods

Experimental investigations on laboratory samples regarding the connection of spectral induced polarization to heterogeneity of hydraulic conductivity

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