1996
DOI: 10.1016/s0920-4105(96)00045-9
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Use of tortuosity for discriminating electro-facies to interpret the electrical parameters of carbonate reservoir rocks

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Cited by 26 publications
(4 citation statements)
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“…14). These parameters were close to those given in literature ðm ¼ n ¼ 2Þ (Saner, Al-Harthi, & Htay, 1996). The comparison between different experimental data sets F -F and some predicted models allows us to conclude that the Shell model (for carbonate rock) gives the best fit (Sen, Kenyon, Takezaki, & Petricola, 1997).…”
Section: Electrical Behaviour Versus Reservoir Fabricssupporting
confidence: 87%
“…14). These parameters were close to those given in literature ðm ¼ n ¼ 2Þ (Saner, Al-Harthi, & Htay, 1996). The comparison between different experimental data sets F -F and some predicted models allows us to conclude that the Shell model (for carbonate rock) gives the best fit (Sen, Kenyon, Takezaki, & Petricola, 1997).…”
Section: Electrical Behaviour Versus Reservoir Fabricssupporting
confidence: 87%
“…It was found that the application of tortuosity in the resistivity model can achieve better fits with experimental data (Winsauer, ). The literature indicates that the pore characteristics, which are described by porosity, pore size, and interconnection of the pore spaces, are necessary to account for the electrical measurement data (Saner et al, ). Therefore, based on the capillary bundle model, in this section we deduce a new electrical resistivity model.…”
Section: Theoretical Modelmentioning
confidence: 99%
“…Consequently, it is essential to have a quantitative understanding of tortuosity in porous media to improve fluid flow modeling. Electrical and diffusion tortuosity are among the most widely used quantities for describing the pore geometry complexity which is important for transport modeling (Duda et al., 2011; Elsayed, BinGhanim, et al., 2022; Honari et al., 2013; Patel et al., 2016; Saner et al., 1996). The electrical tortuosity is based on the electrical resistivity measurements in which the formation resistivity factor ( F ) is evaluated (Pérez‐Rosales, 1982; Revil et al., 2014).…”
Section: Introductionmentioning
confidence: 99%