Nature of surface electrical conductivity in natural sands, sandstones, and clays

Revil, A.; Glover, Paul

doi:10.1029/98gl00296

Cited by 351 publications

(306 citation statements)

References 13 publications

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“…The specific surface conductivity (or conductance) s Σ represents the excess electrical conductivity integrated in the vicinity of a solid surface in reference to the electrical conductivity of bulk water [23,29,48]. The specific surface conductivity is due to the electromigration (superscript "e") of charged species and the associated electro-osmotic processes (superscript "os") at the solid-water interface [18,19,36]: The specific surface conductivity can be calculated as a function of the excess of charge and ionic mobilities at the solid surface [36,49].…”

Section: Electrical Conductivity Modelmentioning

confidence: 99%

“…The excess of mobile charge in the EDL can be directly computed by an electrostatic surface complexation model [25,50,51]. In our specific surface conductivity model, protons adsorbed at the calcium surface sites, counter-ions in the Stern layer, and counter and co-ions in the diffuse layer are assumed to contribute to the total specific surface conductivity of calcite crystals [23,29,48] (Fig. 2).…”

Section: Electrical Conductivity Modelmentioning

confidence: 99%

“…We assume here that the calcite-water interface, also characterized by large hydration layers, allows the hydrated protons to move along the particle surface. It is interesting to note that Holmes et al [53] considered the specific surface conductivity of ionizable surface hydroxyl groups at the surface of thorium oxide, and that Revil and co-workers [23,48], Zimmermann et al [52], and Leroy and co-workers [27,29] considered the contribution of protons to the specific surface conductivity of silica, Teflon, and air and silica, respectively. (23) and (24), the ion mobility, water dielectric permittivity, and viscosity in the diffuse layer are assumed to be equal to their values in bulk water, and d ϕ is the electrical potential at the beginning of the diffuse layer.…”

Section: Electrical Conductivity Modelmentioning

confidence: 99%

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Influence of surface conductivity on the apparent zeta potential of calcite

Leroy

Heberling

et al. 2016

Journal of Colloid and Interface Science

114

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Zeta potential is a physicochemical parameter of particular importance in describing the surface electrical properties of charged porous media. However, the zeta potential of calcite is still poorly known because of the difficulty to interpret streaming potential experiments. The HelmholtzSmoluchowski (HS) equation is widely used to estimate the apparent zeta potential from these experiments. However, this equation neglects the influence of surface conductivity on streaming potential. We present streaming potential and electrical conductivity measurements on a calcite powder in contact with an aqueous NaCl electrolyte. Our streaming potential model corrects the apparent zeta potential of calcite by accounting for the influence of surface conductivity and flow regime. We show that the HS equation seriously underestimates the zeta potential of calcite, particularly when the electrolyte is diluted (ionic strength ≤0.01 M) because of calcite surface conductivity. The basic Stern model successfully predicted the corrected zeta potential by assuming that the zeta potential is located at the outer Helmholtz plane, i.e. without considering a stagnant diffuse layer at the calcite-water interface. The surface conductivity of calcite crystals was inferred from electrical conductivity measurements and computed using our basic Stern model. Surface conductivity was also successfully predicted by our surface complexation model.

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Section: Electrical Conductivity Modelmentioning

confidence: 99%

Section: Electrical Conductivity Modelmentioning

confidence: 99%

Section: Electrical Conductivity Modelmentioning

confidence: 99%

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Influence of surface conductivity on the apparent zeta potential of calcite

Leroy

Heberling

et al. 2016

Journal of Colloid and Interface Science

114

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“…Note that we neglect any possible contribution to S s 0 due to proton transfer at the mineral surface [O'Konski, 1960;Revil and Glover, 1998]. …”

Section: Ec Polarizationmentioning

confidence: 99%

Dependence of spectral‐induced polarization response of sandstone on temperature and its relevance to permeability estimation

Zisser¹,

Kemna²,

Nover³

2010

J. Geophys. Res.

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[1] The possibility to estimate permeability from the electrical spectral induced polarization (SIP) response might be the most important benefit offered by SIP measurements. It can thus be deduced that, in the future, SIP measurements will be carried out more frequently at the field scale or in a well-logging context to estimate permeability. In the shallow subsurface, however, the temperature generally exhibits seasonal variability, and in the deeper subsurface, it usually increases with depth. Hence, knowledge about the dependence of the SIP response on temperature is necessary in order to avoid possible misinterpretation of datasets impacted by thermal effects. In our study, we present a semiempirical framework to describe the temperature dependence of the SIP response. We briefly introduce the SIP response and its relation to permeability in terms of an electrochemical polarization mechanism and combine this formulation with relationships for the dependence of ionic mobility on temperature. We compare the predictions of our formulation with the experimental data from SIP measurements performed on sandstone at temperatures from 0°C to 80°C. The measured SIP response was transformed into a relaxation time distribution, using the empirical Cole-Cole model and a regularized Debye decomposition procedure. The SIP response was found to be in good agreement with the theoretical model. The temperature dependence of both direct current conductivity and relaxation time is controlled mainly by the dependence of ionic mobility on temperature, and the shape of the relaxation time distribution of the investigated sandstone is almost independent of temperature. The temperature effect on the SIP response can therefore be easily corrected.Citation: Zisser, N., A. Kemna, and G. Nover (2010), Dependence of spectral-induced polarization response of sandstone on temperature and its relevance to permeability estimation,

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“…The stability of nanoparticles in highly saline brines still presents a technical challenge due to the compression of electrical double layer [26][27][28] . Learning from the experience of nanofluids [29][30][31][32][33] , the displacing fluid's properties will be significantly affected by the choice of nanoparticle material, particle concentration, morphology and stability in salinity water.…”

Section: Introductionmentioning

confidence: 99%

Nanoparticle-Assisted Water-Flooding in Berea Sandstones

Azmi

Raza

et al. 2016

Energy Fuels

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ABSRACT:The use of nanoparticles (NP) to improve reservoir characterisation or to enhance oil recovery (EOR) has recently received intensive interest; however there are still many un-resolved questions. This work reports a systematic study of the effect of rutile TiO 2 nanoparticle-assisted brine flooding. Rutile ellipsoid TiO 2 nanoparticles were synthesised and stabilised by tri-sodium citrate dehydrate for brine flooding of water-wet Berea sandstone cores. Careful characterisation of the rock samples and nanomaterials before and after the flooding was conducted, and the relative contributions to the modified flooding results from the stabiliser and the nanoparticles of different concentrations were examined. The oil recovery performance was evaluated both at break-through (BT) point and at the end of flooding (~3.2 pore volumes). Nanoparticle migration behavior was also investigated in order to understand the potential mechanisms for oil recovery. The results showed that both nanoparticle transport rate and EOR effect were strongly dependent on the particle concentration. The oil recovery efficiency at the BT point was found to increase at low nanoparticle concentrations but decrease at higher values. A maximum 33% increase of the recovery factor was observed at the BT point for a TiO 2 concentration of 20 ppm, but higher nanoparticle concentrations usually had higher ultimate recovery factors. The presence of oil phase was found to accelerate the particle migration though the core. The discussion of various mechanisms suggested that the improvement in the mobility ratio, possible wettability change and log-jamming effect were responsible for the observed phenomena.

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Nature of surface electrical conductivity in natural sands, sandstones, and clays

Cited by 351 publications

References 13 publications

Influence of surface conductivity on the apparent zeta potential of calcite

Influence of surface conductivity on the apparent zeta potential of calcite

Dependence of spectral‐induced polarization response of sandstone on temperature and its relevance to permeability estimation

Nanoparticle-Assisted Water-Flooding in Berea Sandstones

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