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February 14, 2026Processes0 citationsOpen Access

Study on the Influence of Rock Pore Structure on Radon Diffusion Coefficient and Permeability Based on Quartet Structure Generation Set Method

YCYuan-Chao ChenUniversity of South ChinaZLZhiwei LiaoEast China Jiaotong UniversityDXDong XieJiangsu University of Science and Technology

Key Points

  • This study investigates how pore structure affects radon migration in rock media using the Quartet Structure Generation Set method.
  • Numerical reconstruction of rock pore structure using the QSGS method
  • Extraction of parameters from real rock models via CT scanning
  • Quantitative determination of radon diffusion coefficient and permeability
  • Analysis of relationships between diffusion, saturation, and temperature
  • Use of the Brooks–Corey model for relative permeability calculations
  • QSGS reconstructed models align closely with CT-based model metrics
  • Radon diffusion coefficient and permeability positively correlate with porosity
  • Correlation between Pd and diffusion/permeability varies with porosity levels
  • Water saturation negatively affects the radon diffusion coefficient
  • Relative permeability exhibits distinct nonlinear trends with changes in water saturation

Abstract

As pore space serves as the primary migration pathway of radon in rock media, investigating the influences of pore structural characteristics on radon migration is essential. In this study, the rock pore structure was numerically reconstructed via the Quartet Structure Generation Set (QSGS) method, based on the characteristic parameters extracted from real rock pore models obtained from CT scanning. Quantitative comparison results indicate that the permeability and radon diffusion coefficient of the QSGS-reconstructed models are highly consistent with those of the CT-based model, which verifies the reliability and effectiveness of the QSGS method. A series of three-dimensional (3D) rock pore models with different porosities (η), distribution probabilities (Pd), and growth probabilities (G) were constructed using the QSGS method. The radon diffusion coefficient, tortuosity factor and permeability of these models under dry conditions were quantitatively determined. The relationship between the radon diffusion coefficient, water saturation and temperature was obtained using the tortuosity factor of the pore models and the unsaturated non-isothermal radon diffusion coefficient model. Furthermore, the relationship between the relative permeability of the air and water phases and water saturation was obtained by coupling the calculated permeability with the Brooks–Corey model. The results demonstrate that the η was positively correlated with both the radon diffusion coefficient and permeability, with a more pronounced positive correlation observed for permeability. Under low η conditions, Pd was positively correlated with both the radon diffusion coefficient and permeability; under medium-porosity conditions, Pd was positively correlated with the radon diffusion coefficient but negatively correlated with permeability; under high-porosity conditions, Pd exhibited no significant correlation with the radon diffusion coefficient, while it shows a negative correlation with permeability. G in the principal direction was positively correlated with the radon diffusion coefficient and permeability along the same direction, but negatively correlated with those along orthogonal directions. The radon diffusion coefficient was strongly negatively correlated with water saturation, and weakly positively correlated with temperature. With an increase in water saturation, the relative air permeability presented a nonlinear decrease characterized by a fast-then-slow trend, whereas the relative water permeability showed a nonlinear increase with a slow-then-fast pattern.

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Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/6990112b2ccff479cfe57af1https://doi.org/10.3390/pr14040634
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