A novel permeability calculation model to simultaneously quantify the impacts of pore and fracture with full feature size

Minghui Li , Banghong Zhang , Zhouqian Wu , Shaochen Luo , Jun Lu , Dongming Zhang , Heping Xie

Int J Min Sci Technol ›› 2025, Vol. 35 ›› Issue (4) : 609 -618.

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Int J Min Sci Technol ›› 2025, Vol. 35 ›› Issue (4) : 609 -618. DOI: 10.1016/j.ijmst.2025.03.003

A novel permeability calculation model to simultaneously quantify the impacts of pore and fracture with full feature size

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Abstract

The permeability of rocks is of utmost importance in the exploitation of deep geological resources. Current characterizations of rock permeability typically consider the influence of either pores or fractures alone. However, deep reservoir rock formations are subjected to complex environments with coupling of high temperature and stress. As a result, deep reservoir rocks possess a complex structure comprising of pores and fractures, making it challenging to understand their impact on permeability. Comprehending this relationship is vital for the secure and efficient exploitation of deep geological resources. This study presents a permeability calculation model that enables simultaneously quantify the impacts of pore and fracture with full feature size. The model independently considers large-scale fractures’ fractal properties and tortuosity while also addressing the distribution and size of small-scale pores. A tortuosity expression that incorporates the effects of thermal damage has been developed using the pore geometric elasticity method. Considering the distinct contributions of pores and fractures to rock permeability, a comprehensive rock permeability calculation model is established. This model has two main strengths: it thoroughly characterizes the influence of pore structures on permeability at multiple scales and precisely details how fractal attributes of fractures affect permeability. To validate the applicability of the model, this study conducted seepage experiments and microscopic observations, capturing the variations in permeability under thermo-mechanical coupling, while quantifying the geometric characteristics and spatial distribution of pores and fractures within the rock. By comparing the measured permeability results, the theoretical values demonstrated a commendable fit. In comparison to previous models, this innovative approach more accurately captures various flow characteristics of the rock under the influence of thermo-mechanical coupling.

Keywords

Hot dry rock / Geothermal exploitation / Permeability / Fracture-pore microstructure

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Minghui Li, Banghong Zhang, Zhouqian Wu, Shaochen Luo, Jun Lu, Dongming Zhang, Heping Xie. A novel permeability calculation model to simultaneously quantify the impacts of pore and fracture with full feature size. Int J Min Sci Technol, 2025, 35(4): 609-618 DOI:10.1016/j.ijmst.2025.03.003

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (Nos. 52192625, 52174082, and U22A20166), Guangdong Basic and Applied Basic Research Foundation (No. 2025B1515020039), National Key Research and Development Program (No. 2023YFF0723200), Shenzhen Science and Technology Program (No. RCYX20221008092903013), the Program for Guangdong Introducing Innovative and Entrepreneurial Teams (No. 2019ZT08G315), and the Natural Science Foundation of Chongqing (No. CSTB2022NSCQ-MSX1593).

References

[1]

Liu JR, Li BY, Tian W, Wu XR. Investigating and predicting permeability variation in thermally cracked dry rocks. Int J Rock Mech Min Sci 2018;103:77-88.

[2]

Hu JJ, Xie HP, Sun Q, Li CB, Liu GK. Changes in the thermodynamic properties of alkaline granite after cyclic quenching following high temperature action. Int J Min Sci Technol 2021; 31(5):843-52.

[3]

Nasseri MHB, Tatone BSA, Grasselli G, Young RP. Fracture toughness and fracture roughness interrelationship in thermally treated Westerly granite. Pure Appl Geophys 2009; 166(5):801-22.

[4]

Kang FC, Jia TR, Li YC, Deng JH, Tang CA, Huang X. Experimental study on the physical and mechanical variations of hot granite under different cooling treatments. Renew Energy 2021;179:1316-28.

[5]

Ding QL, Wang P, Cheng Z. Permeability evolution of fractured granite after exposure to different high-temperature treatments. J Petrol Sci Eng 2022;208:109632.

[6]

Brown DW. A hot dry rock geothermal energy concept utilizing supercritical CO 2 instead of water. In: Proceedings of the 25th workshop on geothermal reservoir engineering. Stanford: Stanford University; 2000.p.233-8.

[7]

Jin PH, Hu YQ, Shao JX, Zhao GK, Zhu XZ, Li C. Influence of different thermal cycling treatments on the physical, mechanical and transport properties of granite. Geothermics 2019;78:118-28.

[8]

Fan LF, Gao JW, Wu ZJ, Yang SQ, Ma GW. An investigation of thermal effects on micro-properties of granite by X-ray CT technique. Appl Therm Eng 2018;140:505-19.

[9]

Carbillet L, Griffiths L, Heap MJ, Duwiquet H, Baud P, Violay MES, Reuschlé T, Guillou-Frottier L. The influence of micro- and macrocracks on the permeability of granite. Rock Mech Rock Eng 2025; 58(2):1361-78.

[10]

Xi Y, Xing JH, Jiang HL, Fan LF, Li J. Pore characteristic evolution and damage deterioration of granite subjected to the thermal and cooling treatments combined with the NMR method. Bull Eng Geol Environ 2023; 82(5):182.

[11]

Ni XM, Chen WX, Li ZY, Gao X. Reconstruction of different scales of porefractures network of coal reservoir and its permeability prediction with Monte Carlo method. Int J Min Sci Technol 2017; 27(4):693-9.

[12]

Meng T, Li EB, Xue YB, Ma JW, Liu W, Liang XF. Experimental study on permeability and porosity evolution of host rock with varying damage degrees in excavation damaged area under real-time ultra-high temperature and triaxial stress/seepage pressure condition. Bull Eng Geol Environ 2021; 80 (10):8075-97.

[13]

Costa A. Permeability-porosity relationship: A reexamination of the Kozeny- Carman equation based on a fractal pore-space geometry assumption. Geophys Res Lett 2006; 33(2):L02318.

[14]

Wang ZW, Qin Y, Shen J, Li T, Zhang XY, Cai Y. A novel permeability prediction model for coal based on dynamic transformation of pores in multiple scales. Energy 2022;257:124710.

[15]

Le Ravalee M, Guéguen Y. Permeability models for heated saturated igneous rocks. J Geophys Res Solid Earth 1994; 99(B12):24251-61.

[16]

Tian WL, Yang SQ, Elsworth D, Wang JG, Li XZ. Permeability evolution and crack characteristics in granite under treatment at high temperature. Int J Rock Mech Min Sci 2020;134:104461.

[17]

Gao M, Zhang CG, Oh J. Assessments of the effects of various fracture surface morphology on single fracture flow: A review. Int J Min Sci Technol 2023; 33 (1):1-29.

[18]

Wang G, Qin XJ, Han DY, Liu ZY. Study on seepage and deformation characteristics of coal microstructure by 3D reconstruction of CT images at high temperatures. Int J Min Sci Technol 2021; 31(2):175-85.

[19]

Deng SY, Xiong F, Liu Y, Jiang QH. Temperature-dependent permeability model of granite after thermal treatment based on energy dissipation theory and fractal theory. Rock Mech Rock Eng 2023; 56(9):6321-35.

[20]

Zhang ZZ, Gao F, Gao YN, Xu XL, Hou P, Teng T, Shang XJ. Fractal structure and model of pore size distribution of granite under high temperatures. Chin J Rock Mech Eng 2016; 35(12):2426-38. in Chinese.

[21]

Carman PC. Fluid flow through granular beds. Chem Eng Res Des 1997;75: S32-48.

[22]

Lala AMS. A novel model for reservoir rock tortuosity estimation. J Petrol Sci Eng 2020;192:107321.

[23]

Comiti J, Renaud M. A new model for determining mean structure parameters of fixed beds from pressure drop measurements: Application to beds packed with parallelepipedal particles. Chem Eng Sci 1989; 44(7):1539-45.

[24]

Wu ZQ, Li MH, Xie HP, Lu J, Chen CC. Investigation on physico-mechanical properties and microstructural evolution patterns of heated granite after liquid nitrogen cooling. Geomech Geophys Geo Energy Geo Resour 2023; 9 (1):172.

[25]

Tao GL, Zhang JR. Two categories of fractal models of rock and soil expressing volume and size-distribution of pores and grains. Chin Sci Bull 2009; 54 (23):4458-67.

[26]

Yang SQ, Ranjith PG, Jing HW, Tian WL, Ju Y. An experimental investigation on thermal damage and failure mechanical behavior of granite after exposure to different high temperature treatments. Geothermics 2017;65:180-97.

[27]

Deng SY, Jiang QH, Shang KW, Jing XY, Xiong F. Effect of high temperature on micro-structure and permeability of granite. Rock Soil Mech 2021; 42 (6):1601-11. in Chinese.

[28]

Cohen MH, Mendelson KS. Nuclear magnetic relaxation and the internal geometry of sedimentary rocks. J Appl Phys 1982; 53(2):1127-35.

[29]

Zhang TJ, Shang HB, Li SG, Wei WW, Bao RY, Pan HY. Permeability tests of fractured sandstone with different sizes of fragments under three-dimensional stress states. Rock Soil Mech 2018; 39(7):2361-70. in Chinese.

[30]

Liu JS, Chen ZW, Elsworth D, Miao XX, Mao XB. Evaluation of stress-controlled coal swelling processes. Int J Coal Geol 2010; 83(4):446-55.

[31]

Hudson JA. Comprehensive rock engineering: Principles, practice & projects. Oxford: Pergamon Press; 1993.

[32]

Wu LW, Huang YL, Li JM, Wang GY, Li YS, Li XT, Chen J, Ji C. Macro- and micromechanical response and damage mechanism of sandstone under hightemperature conditions. Int J Min Sci Technol 2025; 35(2):265-74.

[33]

Normant F, Tricot C. Method for evaluating the fractal dimension of curves using convex hulls. Phys Rev A 1991; 43(12):6518-25.

[34]

Guo X, Zou GF, Wang YH, Wang Y, Gao T. Investigation of the temperature effect on rock permeability sensitivity. J Petrol Sci Eng 2017;156:616-22.

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