Symposium on the Application of Geophysics to Engineering and Environmental Problems 2002 2002
DOI: 10.4133/1.2927161
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Theoretic Calculation of Rocks Electrical Resistivity and Some Examples of Algorithm's Application

Abstract: At calculation of rocks resistivity some statistical formulas are frequently used, the best example is the Archie formula. In the present report calculations of rocks' resistivity are made on the basis of the exact physical-chemical theory. The merit of the exact theory application is that this approach allows understanding more directly the mechanism of rocks resistivity forming and the different factors' influence. The demerit is, that the algorithm requires a good knowledge of physics and chemistry and inpu… Show more

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Cited by 6 publications
(8 citation statements)
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“…Considering this model using equations ( 5) and ( 8), it is possible to generate theoretical curves of electrical resistivity from any soil consisting of sand and fines (clay and/or silt) versus pore water salinity (solution of the forward problem, Figure 3) from defined parameters: fines content, porosity, and CEC. Using the PetroWin program developed by Ryjov (Ryjov and Shevnin, 2002), an iterative inversion process of minimizing of the RMS error between the experimental (from electrical measurements in lab) and theoretical (theoretical model above described) curves is made. Different parameters can be modified during the iterative inversion process, such as pore-water salinity (including types of anions and cations with their valence, hydration number, sorption constant and mobility), porosity, capillary radii, moisture and cementation exponent for each fines and sand components of the soil, as well as the CEC for fines component and the temperature of the soil.…”
Section: Estimation Of Soil Propertiesmentioning
confidence: 99%
See 1 more Smart Citation
“…Considering this model using equations ( 5) and ( 8), it is possible to generate theoretical curves of electrical resistivity from any soil consisting of sand and fines (clay and/or silt) versus pore water salinity (solution of the forward problem, Figure 3) from defined parameters: fines content, porosity, and CEC. Using the PetroWin program developed by Ryjov (Ryjov and Shevnin, 2002), an iterative inversion process of minimizing of the RMS error between the experimental (from electrical measurements in lab) and theoretical (theoretical model above described) curves is made. Different parameters can be modified during the iterative inversion process, such as pore-water salinity (including types of anions and cations with their valence, hydration number, sorption constant and mobility), porosity, capillary radii, moisture and cementation exponent for each fines and sand components of the soil, as well as the CEC for fines component and the temperature of the soil.…”
Section: Estimation Of Soil Propertiesmentioning
confidence: 99%
“…The forward petrophysical problem consists of the calculation of rock resistivity values on the base of properties of unconsolidated sediment (mixture of sand and clay). The inverse problem consists of the estimation of the properties' clay content, porosity and CEC on the base of soil resistivity and pore water salinity, taking into account the soil petrophysical model of the site (Ryjov and Shevnin, 2002). Subsequently, a new methodology applied to environmental impact studies of the oil industry in Mexico (Delgado-Rodríguez et al, 2018) was developed, including geoelectrical survey and electrical measurements in soil and groundwater samples (Shevnin et al, 2006a, b).…”
Section: Introductionmentioning
confidence: 99%
“…Field studies of oil pollution are more difficult in the case of high groundwater salinity, as the resistivity contrast between soils with and without pollutants is minimal (Ryjov and Shevnin, 2002).…”
Section: Model Of the Oil-polluted Zonementioning
confidence: 99%
“…For this purpose we use a simulation of resistivity in non-contaminated formations based on water mineralization and rock lithology. The algorithm and software were developed by Ryjov (Ryjov and Sudoplatov, 1990;Ryjov and Shevnin, 2002). Program "Petrofiz" calculates rock resistivity on the base of physical -chemical theory, taking into account rock porosity, clay content, water salinity and types of salt in water, pore size and some other characteristics.…”
Section: Identification Of Contaminated and Non-contaminated Zonesmentioning
confidence: 99%
“…Fifty-five EP measurements were distributed in five parallel profiles using a Schlumberger array for AB/2 = 2 m and 3 m ( The ρ a , soil moisture, and pore water salinity values were used to obtain the petrophysical parameters of the soil using Petrowin software developed by A. Ryjov [27][28]. The experimental relationship between electrical resistivity as a function of the mineralization of pore water and clay content was first published in Russia by Sharapanov et al [29].…”
Section: Electrical Profiling (Ep) Methodsmentioning
confidence: 99%