LAPSE:2023.35750
Published Article
LAPSE:2023.35750
Pore Structure and Fractal Characteristics of Coal-Measure Sedimentary Rocks Using Nuclear Magnetic Resonance (NMR) and Mercury Intrusion Porosimetry (MIP)
Na Zhang, Shuaidong Wang, Xingjian Xun, Huayao Wang, Xiaoming Sun, Manchao He
May 23, 2023
Analyzing and mastering the fractal features of coal-measure sedimentary rocks is crucial for accurately describing the pore structure of coalbed methane resources. In this work, mercury intrusion porosimetry (MIP) and nuclear magnetic resonance (NMR) are performed on coal-measure sedimentary rocks (i.e., shale, mudstone, and sandstone) to analyze their pore structure. Pore size distributions (PSDs) and the multifractal dimensions of the investigated samples are discussed. Moreover, multivariable linear regression models of multifractal dimensions are established through a comprehensive analysis of multifractal characteristics. The results show that sandstone (SS-1) and clay rocks are dominated by nanopores of 0.01 to 1 μm, while sandstone (SS-2) is mostly mesopores and macropores in the range of 1 to 10 μm. The fractal characteristics of the investigated rock samples show a prominent multifractal characteristic, in which DA reflects the surface structure of micropores, while DS represents the pore structure of macropores. Multifractal dimension is affected by many factors, in which the DA is greatly influenced by the pore surface features and mineral components and the DS by average pore diameters. Moreover, multivariate linear regression models of adsorption pore and seepage pore are established, which have a better correlation effect on the multifractal dimension.
Keywords
coal-measure sedimentary rocks, mercury intrusion porosimetry (MIP), multifractal dimensions, nuclear magnetic resonance (NMR), pore structure
Subject
Suggested Citation
Zhang N, Wang S, Xun X, Wang H, Sun X, He M. Pore Structure and Fractal Characteristics of Coal-Measure Sedimentary Rocks Using Nuclear Magnetic Resonance (NMR) and Mercury Intrusion Porosimetry (MIP). (2023). LAPSE:2023.35750
Author Affiliations
Zhang N: State Key Laboratory for GeoMechanics and Deep Underground Engineering, Beijing 100083, China; School of Mechanics, Architecture and Civil Engineering, China University of Mining and Technology, Beijing 100083, China
Wang S: State Key Laboratory for GeoMechanics and Deep Underground Engineering, Beijing 100083, China; School of Mechanics, Architecture and Civil Engineering, China University of Mining and Technology, Beijing 100083, China [ORCID]
Xun X: State Key Laboratory for GeoMechanics and Deep Underground Engineering, Beijing 100083, China; School of Mechanics, Architecture and Civil Engineering, China University of Mining and Technology, Beijing 100083, China
Wang H: State Key Laboratory for GeoMechanics and Deep Underground Engineering, Beijing 100083, China; School of Mechanics, Architecture and Civil Engineering, China University of Mining and Technology, Beijing 100083, China
Sun X: State Key Laboratory for GeoMechanics and Deep Underground Engineering, Beijing 100083, China; School of Mechanics, Architecture and Civil Engineering, China University of Mining and Technology, Beijing 100083, China
He M: State Key Laboratory for GeoMechanics and Deep Underground Engineering, Beijing 100083, China; School of Mechanics, Architecture and Civil Engineering, China University of Mining and Technology, Beijing 100083, China
Journal Name
Energies
Volume
16
Issue
9
First Page
3812
Year
2023
Publication Date
2023-04-28
Published Version
ISSN
1996-1073
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PII: en16093812, Publication Type: Journal Article
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LAPSE:2023.35750
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doi:10.3390/en16093812
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May 23, 2023
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May 23, 2023
 
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Calvin Tsay
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