2021
DOI: 10.1021/acs.energyfuels.1c03255
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Pore Characterization of Organic-Rich Shales through Application of Topological Data Analysis and Persistent Homology

Abstract: This paper discusses pore characterization of organic-rich shales using 3D high-resolution imaging and a topological data analysis (TDA) framework. In particular, our focus is on persistent homology. Our data set contains four organic-rich shale samples (imaged at 10 nm3/voxel) and a Bentheimer sandstone as the anchor point for comparison. The analysis shows that pores larger than 12.4 nm have poor connectivity, and there is no evidence of a percolating path through any of the shale samples. In contrast, the B… Show more

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Cited by 2 publications
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“…This method was already developed in the early 2000s (Edelsbrunner et al, 2000;Zomorodian and Carlsson, 2005) and is applied in various research fields such as materials science (Hiraoka et al, 2016), computer science (Choudhury et al, 2012) or biology (Chan et al, 2013). In geosciences, it has only been applied in the last decade with typical applications in the characterization of porous rocks and the determination of the permeability of such (Delgado-Friedrichs et al, 2014;Robins et al, 2016;Bizhani and Haeri Ardakani, 2021). Furthermore, the determination of hydro-elastic properties of porous media is possible with this method (Jiang et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…This method was already developed in the early 2000s (Edelsbrunner et al, 2000;Zomorodian and Carlsson, 2005) and is applied in various research fields such as materials science (Hiraoka et al, 2016), computer science (Choudhury et al, 2012) or biology (Chan et al, 2013). In geosciences, it has only been applied in the last decade with typical applications in the characterization of porous rocks and the determination of the permeability of such (Delgado-Friedrichs et al, 2014;Robins et al, 2016;Bizhani and Haeri Ardakani, 2021). Furthermore, the determination of hydro-elastic properties of porous media is possible with this method (Jiang et al, 2018).…”
Section: Introductionmentioning
confidence: 99%