Quantitative Characterization of Pore–Fracture Structures in Deep Coal Reservoirs Based on the QSGS Method

Authors

  • Dongxiang Huang School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo, Henan 454000, China Author

DOI:

https://doi.org/10.63313/JCSFT.9071

Keywords:

Multiscale digital core, Coal pore structure, Micro-CT, QSGS method

Abstract

This study aims to improve the characterization of multiscale pore structures in coal by constructing a more representative digital core model. Mercury intrusion porosimetry, micro-CT scanning, Avizo-based image processing, and the quartet structure generation set (QSGS) method were integrated to reconstruct the pore–fracture networks of four coal samples. Mercury intrusion data were used to determine porosity and pore-size distribution, while micro-CT images were applied to establish three-dimensional pore network models. To overcome the resolution limitation of CT imaging, the QSGS method was further used to supplement unresolved micropores. The results indicate that the proposed multiscale digital core can more accurately represent the pore structure of coal samples. Connectivity analysis based on Euler number, tortuosity, and coordination number shows clear differences in pore connectivity among the samples. This approach provides an effective method for pore structure characterization and offers a basis for permeability prediction and coalbed methane development. 

References

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Published

2026-05-12

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Section

Articles

How to Cite

Quantitative Characterization of Pore–Fracture Structures in Deep Coal Reservoirs Based on the QSGS Method. (2026). Journal of Computer Science and Frontier Technologies, 3(2), 58–65. https://doi.org/10.63313/JCSFT.9071