Estimation of shale pore-size-distribution from N2 adsorption characteristics employing modified BJH algorithm

Accurate pore-size-distribution (PSD) is the key to comprehending porous media and shale rock characteristics. There are multiple methods for calculating the PSD of porous media. The Barrett-Joyner-Halenda (BJH) method is the most widely used and simplest calculation, and therefore, this study focus...

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Vydané v:Petroleum science and technology Ročník 39; číslo 19-20; s. 843 - 859
Hlavní autori: He, Yanqing, Chen, Qing, Tian, Yuanyuan, Yan, Changhui, He, Yufeng, Li, Kai
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Abingdon Taylor & Francis 18.10.2021
Taylor & Francis Ltd
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ISSN:1091-6466, 1532-2459
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Shrnutí:Accurate pore-size-distribution (PSD) is the key to comprehending porous media and shale rock characteristics. There are multiple methods for calculating the PSD of porous media. The Barrett-Joyner-Halenda (BJH) method is the most widely used and simplest calculation, and therefore, this study focus on the BJH algorithm to discuss the accurate shale PSD based on N 2 adsorption characteristics. Despite conducting more than a hundred experiments there are certain phenomena for which the calculated pore volume is smaller than the actual pore volume. Therefore, we combined the Brunauer-Emmet-Teller (BET) multilayer adsorption theory and Halsey adsorption equation to analyze the capillary evaporation and desorption demarcation points in the desorption isotherm of each shale sample, and a modified PSD calculation model was established. In addition, we applied the modified BJH algorithm to a homogeneous silicon material with the pore radius known, for calculating the theoretical pore radius and subsequently the pore radii; this allowed determining the correctness of the modified algorithm. The calculation error was approximately 5% that indicated the accuracy of this algorithm. Therefore, this study could provide meaningful insights into the accurate PSD calculation and gas-in-place estimation in shale nanoporous media.
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content type line 14
ISSN:1091-6466
1532-2459
DOI:10.1080/10916466.2021.1971716