2020
DOI: 10.5194/se-2020-151
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Simulating permeability reduction by clay mineral nanopores in a tight sandstone by combining μXCT and FIB-SEM imaging

Abstract: Abstract. Computer microtomography (µXCT) represents a powerful tool for investigating the physical properties of porous rocks. While calculated porosities determined by this method typically match experimental measurements, computed permeabilities are often overestimated by more than one order of magnitude. This effect increases towards smaller pore sizes, as shown in this study, in which nanostructural features related to clay minerals reduce the permeability of tight reservoir sandstone samples. FIB-SEM tom… Show more

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Cited by 2 publications
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“…This program utilizes supervised machine learning [64] to sort image portions into certain categories (i.e., image segmentation) based on user-supplied training data. Ilastik was successfully applied in two-and three-dimensional pore space reconstructions of sedimentary rocks [65,66]. In the present study, we employed the toolkit to classify each pixel , taken after oxidation of the organic matrix by immersion in 10.5 vol% H 2 O 2 for 20 minutes (image A magnified for visual clarity).…”
Section: Plos Onementioning
confidence: 99%
“…This program utilizes supervised machine learning [64] to sort image portions into certain categories (i.e., image segmentation) based on user-supplied training data. Ilastik was successfully applied in two-and three-dimensional pore space reconstructions of sedimentary rocks [65,66]. In the present study, we employed the toolkit to classify each pixel , taken after oxidation of the organic matrix by immersion in 10.5 vol% H 2 O 2 for 20 minutes (image A magnified for visual clarity).…”
Section: Plos Onementioning
confidence: 99%