Geological Structure Control on Pore Structure of Coal Reservoirs: A Case Study in Erdaoling Mining Area, Inner Mongolia, NW China

Heng Li, Haitao Lin, Huimin Lv, Dongfang Yu, Weiwei Guo, Xuan Fang, Zhaoyang Duan and Anmin Wang ()
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Heng Li: School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China
Haitao Lin: Inner Mongolia Coal Exploration Unconventional Energy Co., Ltd., Hohhot 010010, China
Huimin Lv: College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
Dongfang Yu: Inner Mongolia Coal Exploration Unconventional Energy Co., Ltd., Hohhot 010010, China
Weiwei Guo: College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
Xuan Fang: College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
Zhaoyang Duan: College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
Anmin Wang: College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China

Energies, 2025, vol. 18, issue 18, 1-23

Abstract: The Erdaoling Mining area, located in Inner Mongolia, NW China, is recognized for its considerable potential in coalbed methane (CBM) exploration and development. However, the complex structures in this region have significant influences on coal reservoir characteristics, particularly pore structure features. This study focuses on the No. 2 coal seam of the Middle Jurassic Yan’an Formation. Three structural patterns were classified based on the existing structural characteristics of the study area. Coal samples of No. 2 coal seam were collected from different structural positions, and were subjected to low-temperature CO 2 adsorption (LTCO 2 A), low-temperature N 2 adsorption/desorption (LTN 2 A), low-field nuclear magnetic resonance (LF-NMR), and scanning electron microscopy (SEM) experiments, so that the structural controlling effects on pore structure would be revealed. Quantitative analysis results indicate that in terms of asymmetric syncline, from the limb to the core, the total porosity and movable fluid porosity of the coal decreased by 1.47% and 0.31%, respectively, reaching their lowest values at the core. Meanwhile, the dominant pore type shifted from primarily one-end closed pores to “ink-bottle” pores, indicating increased pore complexity. In the fold-thrust structure, the micropore specific surface area, micropore volume, mesopore specific surface area, mesopore volume, and total porosity show clear correlations with variations in coal seam structure. These parameters all reach their maximum values in the fault-cut zone at the center of the syncline, measuring 268.26 m 2 /g, 0.082 cm 3 /g, 0.601 m 2 /g, 1.262 cm 3 /g, and 4.2%, respectively. Simple pore types, like gas pores and vesicular pores, were identified in the syncline limbs, while open pores, “ink-bottle” pores, and complex multiporous types were mainly developed at fault locations, indicating that faults significantly increase the complexity of coal reservoir pore types. For the broad and gentle syncline and small-scale reverse fault combination, porosity exhibits a decreasing trend from the syncline limbs toward the core. Specifically, the mesopore specific surface area and movable fluid porosity increased by 52.24% and 43.69%, respectively, though no significant effect on micropores was observed. The syncline core in this structural setting developed normal gas pore clusters and tissue pores, with no occurrence of highly complex or heterogeneous pore types, indicating that neither the broad gentle syncline nor the small-scale faulting significantly altered the pore morphology. Comparatively, the broad and gentle syncline and small-scale reverse fault combination was determined to exert the strongest modification on pore structures of coal reservoir, followed by the asymmetric syncline, while the broad syncline alone demonstrated minimal influence.

Keywords: coal reservoir; pore structure; structural patterns; erdaoling mining area (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: 2025
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