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

Abstract

[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,

Depth profiles of resistivity and spectral IP for active modern submarine hydrothermal deposits: a case study from the Iheya North Knoll and the Iheya Minor Ridge in Okinawa Trough, Japan

“…In general, resistivity is controlled by the combined factors of connectivity of fluids (a function of porosity), fluid properties (salinity, temperature), surface conductivity of clay minerals, and capacitive behavior due to the presence of clay minerals and sulfide particles (Wong 1979;Revil et al 1998Revil et al , 2015aZisser et al 2010). In order to characterize the resistivity and IP properties of the study area, we examined the contribution of these factors to resistivity and IP properties, the factors causing lowresistivity anomalies, and the applicability of IP exploration techniques to submarine hydrothermal deposits.…”

“…Notably, high temperatures could also modify spectral IP properties (Zisser et al 2010), so that IP parameters m, c, and τ depend on temperature. Further investigations in terms of IP dependence on temperature may be needed to examine the robustness of using IP parameters for detection of sulfides in high-temperature hydrothermal systems.…”

Experimental Study of Induced Polarization Effect in Unconventional Reservoir Rocks

“…In addressing this question we should note that, according to published data, a significant IP effect in clay-containing samples has been observed at high frequency only (>1 kHz) [39]- [41]. The low frequency IP effect in clays was not observed or it was caused by other factors than the presence of the pure clay minerals [6] [10] [19] [42]- [49]. In addition, in our study the kaolinite and chloride minerals appear in two samples only (#8, Figure 2, and #45, Figure 4).…”

Deep Geothermal Energy for Lower Saxony (North Germany) – Combined Investigations of Geothermal Reservoir Characteristics

“…We carried out calculations of an analytical membrane polarisation model (based on the model of Marshall and Madden [3]) with the aim to evaluate existing equations and refine them for geothermal application. The work is based on earlier numerical simulation efforts [4,5] and on existing laboratory investigations which include temperature as a variable parameter [6]. Fig.…”