Pore Structure and Fractal Characteristics of Coal Rocks Under Variable Moisture Content Increment Cycles Using LF-NMR Techniques

The spatiotemporal heterogeneity of moisture distribution causes the coal pillar dams in underground water reservoirs to undergo long-term dry–wet cycles (DWCs) under varying moisture content increments (MCIs). Accurately measuring the pore damage and fractal dimensions (Df) of coal rock by different MCIs under DWCs is a prerequisite for in-depth disclosure of the strength deterioration mechanism of underground reservoir coal pillar dams. This study employed low-field nuclear magnetic resonance (LF-NMR) to quantitatively characterize the pore structural evolution and fractal dimension with different MCI variations (Δw = 4%, 6%, 8%) after one to five DWCs. The results indicate that increasing MCIs at constant DWC numbers (NDWC) induces significant increases in pore spectrum area, adsorption pore area, and seepage pore area. MRI visualization demonstrates a progressive migration of NMR signals from sample peripheries to internal regions, reflecting enhanced moisture infiltration with higher MCIs. Total porosity increases monotonically with MCIs across all tested cycles. Permeability, T2 cutoff (T2C), and Df of free pores exhibit distinct response patterns. A porosity-based damage model further reveals that the promoting effect of cycle numbers on pore development and expansion outweighs that of MCIs at NDWC = 5. This pore-scale analysis provides essential insights into the strength degradation mechanisms of coal pillar dams under hydro-mechanical coupling conditions.

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Publication Details

Journal
Water
Published
2025-06-25
DOI
https://doi.org/10.3390/w17131884
Citations
2
Primary Topic
Coal Properties and Utilization
Type
article
Field-Weighted Citation Impact
2.29

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article

Pore Structure and Fractal Characteristics of Coal Rocks Under Variable Moisture Content Increment Cycles Using LF-NMR Techniques

Liqiang Yu, Yan Xing, Zhiguo Cao, Hongxin Xie et al.
2 citations
Water
Coal Properties and Utilization
2.29
article

Pore Structure and Fractal Characteristics of Coal Rocks Under Variable Moisture Content Increment Cycles Using LF-NMR Techniques

Liqiang Yu, Yan Xing, Zhiguo Cao, Hongxin Xie, Zetian Zhang, Hui Liu, Yong Zhang, Yanpeng Zhao, D. Qin
article en
2 citations

Abstract

The spatiotemporal heterogeneity of moisture distribution causes the coal pillar dams in underground water reservoirs to undergo long-term dry–wet cycles (DWCs) under varying moisture content increments (MCIs). Accurately measuring the pore damage and fractal dimensions (Df) of coal rock by different MCIs under DWCs is a prerequisite for in-depth disclosure of the strength deterioration mechanism of underground reservoir coal pillar dams. This study employed low-field nuclear magnetic resonance (LF-NMR) to quantitatively characterize the pore structural evolution and fractal dimension with different MCI variations (Δw = 4%, 6%, 8%) after one to five DWCs. The results indicate that increasing MCIs at constant DWC numbers (NDWC) induces significant increases in pore spectrum area, adsorption pore area, and seepage pore area. MRI visualization demonstrates a progressive migration of NMR signals from sample peripheries to internal regions, reflecting enhanced moisture infiltration with higher MCIs. Total porosity increases monotonically with MCIs across all tested cycles. Permeability, T2 cutoff (T2C), and Df of free pores exhibit distinct response patterns. A porosity-based damage model further reveals that the promoting effect of cycle numbers on pore development and expansion outweighs that of MCIs at NDWC = 5. This pore-scale analysis provides essential insights into the strength degradation mechanisms of coal pillar dams under hydro-mechanical coupling conditions.

WaterVol. 17(13)
Sichuan University (CN), China University of Mining and Technology (CN), National Institute of Clean and Low-Carbon Energy (CN)
National Natural Science Foundation of China, National Science and Technology Major Project
Openalex Percentile: Top 12%
Coal Properties and Utilization
2.29
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