In situ mineralogy and permeability logs from downhole measurements: Application to a case study in chlorite‐coated sandstones

Rabaute, Alain; Revil, A.; Brosse, É.

doi:10.1029/2002jb002178

Cited by 34 publications

(22 citation statements)

References 26 publications

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“…For the calculation of h(T) we use the formulation given by Patek et al [26] The DC conductivity of rocks does not depend exclusively on ionic mobility, as the second term in equation (27) also contributes to s 0 . Various studies concerning the temperature dependence of shaly rocks report an increase in DC surface conductivity stronger than that of s f with increasing temperature [e.g., Waxman and Thomas, 1974;Sen and Goode, 1992;Revil et al, , 2002Rabaute et al, 2003]. As we assume b + d (T) ≈ b + f (T), this implies an increase of surface site density in the diffuse layer with increasing temperature (see equation (27)).…”

Section: Dependence On Temperaturementioning

confidence: 97%

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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Section: Dependence On Temperaturementioning

confidence: 97%

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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“…The distribution of hydraulic properties for the porous media is an important step towards understanding and predicting groundwater flow and contamination of an aquifer system [28]. The hydraulic conductivity parameter is generally calculated from the pumping test and the down hole measurements [29]; but these methods are used to calculate the hydraulic properties of large geological media [30]. It is important to predict the hydraulic properties of water bearing strata and the calculation of aquifer properties including hydraulic conductivity is the main objective in water saturated environments [10].…”

Section: Hydraulic Conductivitymentioning

confidence: 99%

Determination of aquifer parameters using geoelectrical sounding and pumping test data in Khanewal District, Pakistan

Akhter

Hasan

2016

Open Geosciences

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Abstract:In order to determine the ground water resources and potentials of the Khanewal District of Pakistan, a geophysical method in combination with pumping test data were used. An analytical relationship between the aquifer parameters interpreted from surface geoelectrical method and pumping test was established in order to estimate aquifer parameters from surface measurements where no pumping tests exist. For the said purpose, 48 geoelectric investigations were carried out using Schlumberger vertical electrical sounding (VES). Seven of the soundings were conducted where pumping tests had been carried out at borehole sites. The vertical electrical sounding stations were interpreted, and resistivities and thickness parameters were calculated.

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“…In reality, we suggest using well-logging data to fit some smooth nonparametric function form (e.g., B-spline or polynomial or some fuzzy geostatistical relationships) to represent the relationship between each lithotype in the study domain (see for instance Rabaute et al, 2003). In Appendix A, we discuss the type of relationship that could be forged through fundamental petrophysics.…”

Section: Fixed Facies Boundaries Case Studymentioning

confidence: 99%

2D joint inversion of geophysical data using petrophysical clustering and facies deformation

Zhang

Revil

2015

GEOPHYSICS

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Geologic expertise and petrophysical relationships can be brought together to provide prior information while inverting multiple geophysical data sets. The merging of such information can result in more realistic solution in the distribution of the model parameters. We have evaluated the geophysical inverse problem in terms of Gaussian random fields with mean functions controlled by petrophysical relationships and covariance functions controlled by a prior geologic cross section, including the definition of spatial boundaries for the geologic facies. The petrophysical relationship problem is formulated as a regression problem upon each facies. The inversion of the geophysical data is performed in a Bayesian framework. We have developed the usefulness of this strategy using a first synthetic case for which we have performed a joint inversion of gravity and galvanometric resistivity data with the stations located at the ground surface. The joint inversion was used to recover the density and resistivity distributions of the subsurface. In a second step, we considered the possibility that the facies boundaries were deformable and their shapes were inverted as well. We used the level-set approach to perform such deformation preserving a priori topological properties of the facies throughout the inversion. With the help of a priori facies petrophysical relationships and the topological characteristics of each facies, we made a posteriori inference about multiple geophysical tomograms based on their corresponding geophysical data misfits. We have applied this method to a second synthetic case showing that we can recover the heterogeneities inside the facies, the mean values for the petrophysical properties, and, to some extent, the facies boundaries using the 2D joint inversion of gravity and galvanometric resistivity data.

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In situ mineralogy and permeability logs from downhole measurements: Application to a case study in chlorite‐coated sandstones

Cited by 34 publications

References 26 publications

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

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

Determination of aquifer parameters using geoelectrical sounding and pumping test data in Khanewal District, Pakistan

2D joint inversion of geophysical data using petrophysical clustering and facies deformation

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