2018
DOI: 10.1093/gji/ggy305
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KG²B, a collaborative benchmarking exercise for estimating the permeability of the Grimsel granodiorite—Part 2: modelling, microstructures and complementary data

Abstract: • A benchmarking exercise involving 24 laboratories was organized to estimate the permeability of the Grimsel granodiorite • The microstructures of the Grimsel granodiorite were analyzed and quantified using BIB-SEM, micro-CT scanning, MICP and NMR techniques • Permeability predictions from different models using microstructure data as input parameters are in good agreement with measurements

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Cited by 12 publications
(9 citation statements)
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“…The fluid flow interaction between the fracture and the matrix is neglected in this study. Given the low porosity and permeability of the granodiorite rocks (David et al., 2018) this is a plausible assumption commonly made in similar studies (Grimm Lima et al., 2020; Salimzadeh et al., 2018a; Slatlem Vik et al., 2018).…”
Section: Methodsmentioning
confidence: 78%
“…The fluid flow interaction between the fracture and the matrix is neglected in this study. Given the low porosity and permeability of the granodiorite rocks (David et al., 2018) this is a plausible assumption commonly made in similar studies (Grimm Lima et al., 2020; Salimzadeh et al., 2018a; Slatlem Vik et al., 2018).…”
Section: Methodsmentioning
confidence: 78%
“…Permeability measurements were performed on the room-equilibrated starting material using the pore pressure oscillation method (Bernabé et al, 2006;David et al, 2018;Turner, 1958). A 4-mm-thick dry gouge layer was sandwiched between two aluminum half-cylinders, cut parallel to the cylindrical axis.…”
Section: Permeability Measurementsmentioning
confidence: 99%
“…Permeability links directly to the rock porous network, in terms of its concentration and its connectivity (Bernabé, ; C. David et al, , ; Guéguen & Dienes, ; Pimienta, Sarout, et al, ; Sarout, ). Assuming simple geometries of either tubes (i.e., connected spherical pores) or penny‐shaped cracks, one could predict the permeability of a material.…”
Section: Interpretationsmentioning
confidence: 99%