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 and Manchao He
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Na Zhang: State Key Laboratory for GeoMechanics and Deep Underground Engineering, Beijing 100083, China
Shuaidong Wang: State Key Laboratory for GeoMechanics and Deep Underground Engineering, Beijing 100083, China
Xingjian Xun: State Key Laboratory for GeoMechanics and Deep Underground Engineering, Beijing 100083, China
Huayao Wang: State Key Laboratory for GeoMechanics and Deep Underground Engineering, Beijing 100083, China
Xiaoming Sun: State Key Laboratory for GeoMechanics and Deep Underground Engineering, Beijing 100083, China
Manchao He: State Key Laboratory for GeoMechanics and Deep Underground Engineering, Beijing 100083, China

Energies, 2023, vol. 16, issue 9, 1-17

Abstract: 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 D A reflects the surface structure of micropores, while D S represents the pore structure of macropores. Multifractal dimension is affected by many factors, in which the D A is greatly influenced by the pore surface features and mineral components and the D S 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; pore structure; mercury intrusion porosimetry (MIP); nuclear magnetic resonance (NMR); multifractal dimensions (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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