2021
DOI: 10.1021/acs.energyfuels.0c03991
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Study on the Pore Structure and Fractal Dimension of Tight Sandstone in Coal Measures

Abstract: The pore structure directly controls the tight reservoir’s physical properties and plays a crucial role in gas charging and accumulation. To characterize the pore structure accurately, it is critical for the exploration and development of tight gas. In this paper, the pore structure of a tight sandstone reservoir in the Carboniferous Benxi Formation coal-bearing strata in the Ordos Basin was characterized by X-ray diffraction, thin sections, scanning electron microscopy, high-pressure mercury intrusion, and X-… Show more

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Cited by 22 publications
(12 citation statements)
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References 38 publications
(104 reference statements)
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“…Its establishment not only solves the problem of excessive computation during the simulation, but also enables the statistics of parameters such as throat length and coordination number, which are important for studying the connectivity of coal. The pore space and pore throat can be extracted separately in this model, which can describe the distribution of pore space and pore throat more clearly . Meanwhile, the maximum sphere algorithm is used to calculate the coordination number of pore network and the pore throat distribution of coal sample, , which is the fundamental for coal permeability calculation.…”
Section: Quantitative Characterization Of Microstructurementioning
confidence: 99%
See 1 more Smart Citation
“…Its establishment not only solves the problem of excessive computation during the simulation, but also enables the statistics of parameters such as throat length and coordination number, which are important for studying the connectivity of coal. The pore space and pore throat can be extracted separately in this model, which can describe the distribution of pore space and pore throat more clearly . Meanwhile, the maximum sphere algorithm is used to calculate the coordination number of pore network and the pore throat distribution of coal sample, , which is the fundamental for coal permeability calculation.…”
Section: Quantitative Characterization Of Microstructurementioning
confidence: 99%
“…The pore space and pore throat can be extracted separately in this model, which can describe the distribution of pore space and pore throat more clearly. 60 Meanwhile, the maximum sphere algorithm is used to calculate the coordination number of pore network and the pore throat distribution of coal sample, 61,62 which is the fundamental for coal permeability calculation.…”
Section: Quantitative Characterization Of Microstructurementioning
confidence: 99%
“…A review by Lu et al presents a summary and perspective on efficient exploitation of CBM in China. The original research articles on this topic cover several aspects related to CBM, including gas adsorption, methane production, , numerical modeling and simulation, , pore-scale measurements, , characterization studies, , etc.…”
Section: Coalbed Methane (Cbm)mentioning
confidence: 99%
“…A review by Lu et al 62 presents a summary and perspective on efficient exploitation of CBM in China. The original research articles on this topic cover several aspects related to CBM, including gas adsorption, 63 methane production, 68,71 numerical modeling and simulation, 64,66 porescale measurements, 65,69 characterization studies, 67,70 etc. This VSI is part of the series of VSIs on recent advances in selected energy research areas, launched by Energy & Fuels in January 2021.…”
Section: ■ Coalbed Methane (Cbm)mentioning
confidence: 99%
“…The fractal theory is an effective method to analyze the structure and geometric characteristics of materials. Ni et al studied the pore structure of coal samples treated with nitric acid by SEM and LTNA and used fractal dimensions to quantitatively analyze the pore structure of coal samples, revealing the fractal dimension and SSA, total pore volume, and nitrogen adsorption with positive and negative correlations . Wang et al used the fractal theory to study the pore differences between raw coal and structural coal and found that D 1 increases with the decrease of the particle size.…”
Section: Introductionmentioning
confidence: 99%