Quantification of slag heap volumes and masses through the use of induced polarization: application to the Castel-Minier site

Florsch, Nicolás; Llubes, Muriel; Téreygeol, Florian; Ghorbani, Ahmad; Roblet, P.

doi:10.1016/j.jas.2010.09.027

Cited by 61 publications

(67 citation statements)

References 37 publications

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“…As mentioned by Florsch et al (2010), the previous series converges in all cases. However, if t>C , it is better to employ the series provided by Hilfer (2002).…”

Section: Principlessupporting

confidence: 56%

“…This complex conductivity is characterized by an in phase component (real part) and an out-of-phase or quadrature conductivity (imaginary part). The complex conductivity is usually measured for a range of frequencies decays exponentially with time after shut-off of the electrical current (e.g., Florsch et al 2010):…”

Section: Principlesmentioning

confidence: 99%

“…The square of the grain size of the pyrite grains and their concentration have both an influence on the apparent induced polarization spectra. Florsch et al (2010) used for example IP to quantify the volume and mass of slag heaps at an archeological site (see also Weller et al 2000, andUllrich et al 2007). Nordsiek and Weller (2008) and Florsch et al (2010) found a linear relationship between the chargeability and the slag concentration that they used to quantify the amount of slag.…”

Section: Underlying Physicsmentioning

confidence: 99%

“…Florsch et al (2010) used for example IP to quantify the volume and mass of slag heaps at an archeological site (see also Weller et al 2000, andUllrich et al 2007). Nordsiek and Weller (2008) and Florsch et al (2010) found a linear relationship between the chargeability and the slag concentration that they used to quantify the amount of slag. In the monitoring of contaminant plumes, the precipitation of metallic particles associated with microbial-induced mineralization processes can have a substantial influence on the IP response.…”

Section: Underlying Physicsmentioning

confidence: 99%

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Review: Some low-frequency electrical methods for subsurface characterization and monitoring in hydrogeology

et al. 2012

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Low-frequency geoelectrical methods include mainly self-potential, resistivity, and induced polarization techniques, which have potential in many environmental and hydrogeological applications. They provide complementary information to each other and to in-situ measurements. The self-potential method is a passive measurement of the electrical response associated with the in-situ generation of electrical current due to the flow of pore water in porous media, a salinity gradient, and/or the concentration of redoxactive species. Under some conditions, this method can be used to visualize groundwater flow, to determine permeability, and to detect preferential flow paths. Electrical resistivity is dependent on the water content, the temperature, the salinity of the pore water, and the clay content and mineralogy. Time-lapse resistivity can be used to assess the permeability and dispersivity distributions and to monitor contaminant plumes. Induced polarization characterizes the ability of rocks to reversibly store electrical energy. It can be used to image permeability and to monitor chemistry of the pore water-minerals interface. These geophysical methods, reviewed in this paper, should always be used in concert with additional in-situ measurements (e.g. in-situ pumping tests, chemical measurements of the pore water), for instance through joint inversion schemes, which is an area of fertile on-going research.

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“…As mentioned by Florsch et al (2010), the previous series converges in all cases. However, if t>C , it is better to employ the series provided by Hilfer (2002).…”

Section: Principlessupporting

confidence: 56%

Section: Principlesmentioning

confidence: 99%

Section: Underlying Physicsmentioning

confidence: 99%

Section: Underlying Physicsmentioning

confidence: 99%

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Review: Some low-frequency electrical methods for subsurface characterization and monitoring in hydrogeology

et al. 2012

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“…Oldenburg et al, 1997;Florsch et al, 2011) but also to locate subsurface geochemical zones containing both magnetite and pore water Fe 2+ , although further work is required to confirm this hypothesis. Further work is also required to confirm whether semiconductive sulfide minerals (rather than magnetite) and other redox active species can interact to produce similar responses; also whether biogeochemically produced nanoparticulate mineral aggregates behave similarly to the highly crystalline magnetite particles tested here.…”

Section: And) ('mentioning

confidence: 99%

Laboratory study of spectral induced polarization responses of magnetite — Fe2+ redox reactions in porous media

et al. 2014

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Spectral induced polarization (SIP) phase anomalies in field surveys at contaminated sites have previously been shown to correlate with the occurrence of chemically reducing conditions and/or semiconductive minerals, but the reasons for this are not fully understood. We report a systematic laboratory investigation of the role of the semiconductive mineral magnetite and its interaction with redox-active versus redox-inactive ions in producing such phase anomalies. The SIP responses of quartz sand with 5% magnetite in solutions containing redox-inactive [Formula: see text] and [Formula: see text] versus redox-active [Formula: see text] were measured across the pH ranges corresponding to adsorption of these metals to magnetite. With redox inactive ions [Formula: see text] and [Formula: see text], SIP phase response showed no changes across the pH range 4–10, corresponding to their adsorption, showing [Formula: see text] anomalies peaking at [Formula: see text]–74 Hz. These large phase anomalies are probably caused by polarization of the magnetite-solution interfaces. With the redox-active ion [Formula: see text], frequency of peak phase response decreased progressively from [Formula: see text] to [Formula: see text] as effluent pH increased from four to seven, corresponding to progressive adsorption of [Formula: see text] to the magnetite surface. The latter frequency (3 Hz) corresponds approximately with those of phase anomalies detected in field surveys reported elsewhere. We conclude that pH sensitivity arises from redox reactions between [Formula: see text] and magnetite surfaces, with transfer of electrical charge through the bulk mineral, as reported in other laboratory investigations. Our results confirm that SIP measurements are sensitive to redox reactions involving charge transfers between adsorbed ions and semiconductive minerals. Phase anomalies seen in field surveys of groundwater contamination and biostimulation may therefore be indicative of iron-reducing conditions, when semiconductive iron minerals such as magnetite are present.

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Predicting permeability from the characteristic relaxation time and intrinsic formation factor of complex conductivity spectra

Revil

Binley

Mejus

et al. 2015

Water Resources Research

103

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Low-frequency quadrature conductivity spectra of siliclastic materials exhibit typically a characteristic relaxation time, which either corresponds to the peak frequency of the phase or the quadrature conductivity or a typical corner frequency, at which the quadrature conductivity starts to decrease rapidly toward lower frequencies. This characteristic relaxation time can be combined with the (intrinsic) formation factor and a diffusion coefficient to predict the permeability to flow of porous materials at saturation. The intrinsic formation factor can either be determined at several salinities using an electrical conductivity model or at a single salinity using a relationship between the surface and quadrature conductivities. The diffusion coefficient entering into the relationship between the permeability, the characteristic relaxation time, and the formation factor takes only two distinct values for isothermal conditions. For pure silica, the diffusion coefficient of cations, like sodium or potassium, in the Stern layer is equal to the diffusion coefficient of these ions in the bulk pore water, indicating weak sorption of these couterions. For clayey materials and clean sands and sandstones whose surface have been exposed to alumina (possibly iron), the diffusion coefficient of the cations in the Stern layer appears to be 350 times smaller than the diffusion coefficient of the same cations in the pore water. These values are consistent with the values of the ionic mobilities used to determine the amplitude of the low and high-frequency quadrature conductivities and surface conductivity. The database used to test the model comprises a total of 202 samples. Our analysis reveals that permeability prediction with the proposed model is usually within an order of magnitude from the measured value above 0.1 mD. We also discuss the relationship between the different time constants that have been considered in previous works as characteristic relaxation time, including the mean relaxation time obtained from a Debye decomposition of the spectra and the Cole-Cole time constant.

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Quantification of slag heap volumes and masses through the use of induced polarization: application to the Castel-Minier site

Cited by 61 publications

References 37 publications

Review: Some low-frequency electrical methods for subsurface characterization and monitoring in hydrogeology

Review: Some low-frequency electrical methods for subsurface characterization and monitoring in hydrogeology

Laboratory study of spectral induced polarization responses of magnetite — Fe2+ redox reactions in porous media

Predicting permeability from the characteristic relaxation time and intrinsic formation factor of complex conductivity spectra

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