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NMRI online observation of coal fracture and pore structure evolution under confining pressure and axial compressive loads: A novel approach

Author

Listed:
  • Zhou, H.W.
  • Liu, Z.L.
  • Zhong, J.C.
  • Chen, B.C.
  • Zhao, J.W.
  • Xue, D.J.

Abstract

Quantitative characterization of the spatial distribution, content and heterogeneity of fracture and pore structure (FPS) in coal reservoirs under confining pressures and axial compressive loads is significant for the engineering of coal bed methane. A novel online observation approach that combines nuclear magnetic resonance imaging with triaxial loading techniques is employed to achieve the visualization and full-scale quantitative characterization of the evolution of FPS in coals in the laboratory. The relationship between the stress states and FPS evolution was formulated. The results show that the spatial distribution of the FPS evolution process of coal samples can be divided into four stages: initial pore and fracture compaction closure, pore and fracture stable growth, pore and fracture unstable growth, and failure stages. As the deviatoric stress increases, the content of the adsorption pores, the heterogeneity of the adsorption space, and the gas adsorption capacity of coal samples gradually increase. In contrast, the seepage pore and fracture content as well as the permeability of coal samples decrease first and then increase. The heterogeneity of the seepage space of coal samples initially increases and then decreases. The maximum compression of seepage space and increase of adsorption space are 4.742% and 14.743%, respectively.

Suggested Citation

  • Zhou, H.W. & Liu, Z.L. & Zhong, J.C. & Chen, B.C. & Zhao, J.W. & Xue, D.J., 2022. "NMRI online observation of coal fracture and pore structure evolution under confining pressure and axial compressive loads: A novel approach," Energy, Elsevier, vol. 261(PA).
  • Handle: RePEc:eee:energy:v:261:y:2022:i:pa:s0360544222021818
    DOI: 10.1016/j.energy.2022.125297
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    References listed on IDEAS

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    1. Lu, Hongfang & Xu, FengYing & Liu, Hongxiao & Wang, Jun & Campbell, Daniel E. & Ren, Hai, 2019. "Emergy-based analysis of the energy security of China," Energy, Elsevier, vol. 181(C), pages 123-135.
    2. Liu, Ting & Lin, Baiquan & Fu, Xuehai & Gao, Yabin & Kong, Jia & Zhao, Yang & Song, Haoran, 2020. "Experimental study on gas diffusion dynamics in fractured coal: A better understanding of gas migration in in-situ coal seam," Energy, Elsevier, vol. 195(C).
    3. Aydin, Gokhan, 2014. "Modeling of energy consumption based on economic and demographic factors: The case of Turkey with projections," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 382-389.
    4. Guo, Zixi & Zhao, Jinzhou & You, Zhenjiang & Li, Yongming & Zhang, Shu & Chen, Yiyu, 2021. "Prediction of coalbed methane production based on deep learning," Energy, Elsevier, vol. 230(C).
    5. Haiyang Yi & Hongwei Zhou & Rui Wang & Di Liu & Jingyang Ding, 2018. "On the Relationship between Creep Strain and Permeability of Granite: Experiment and Model Investigation," Energies, MDPI, vol. 11(10), pages 1-15, October.
    6. Ma, Lin & Dowey, Patrick J. & Rutter, Ernest & Taylor, Kevin G. & Lee, Peter D., 2019. "A novel upscaling procedure for characterising heterogeneous shale porosity from nanometer-to millimetre-scale in 3D," Energy, Elsevier, vol. 181(C), pages 1285-1297.
    7. Wang, Chen & Liu, Yueliang & Du, Yifan & Gao, Yuan & Sun, Yuanxiu, 2021. "Heavy-oil recovery by combined geothermal energy and cosolvent/water flooding," Energy, Elsevier, vol. 228(C).
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    Cited by:

    1. Yu, Minggao & Yang, Ning & Li, Haitao & Wang, Liang & Wu, Mingqiu & Wang, Fengchuan & Chu, Tingxiang & Wang, Kai, 2024. "Numerical investigation on the effects of axial-stress loads on the temperature-programmed oxidation characteristics of loose broken coal," Energy, Elsevier, vol. 289(C).
    2. Xie, Senlin & Zhou, Hongwei & Jia, Wenhao & Gu, Yongsheng & Cao, Yanpeng & Liu, Zelin, 2024. "Spatial evolution of pore and fracture structures in coal under unloading confining pressure: A stratified nuclear magnetic resonance approach," Energy, Elsevier, vol. 289(C).
    3. Zhang, Tong & Tang, Ming & Yuan, Liang & Liu, Zegong & Ju, Yiwen & Xie, Zhizheng, 2024. "Dynamic pore-fracture characteristic and evolution influenced by the underground mining considering the in-situ stress," Energy, Elsevier, vol. 289(C).

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