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A novel permeability prediction model for coal based on dynamic transformation of pores in multiple scales

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  • Wang, Ziwei
  • Qin, Yong
  • Shen, Jian
  • Li, Teng
  • Zhang, Xiaoyang
  • Cai, Ying

Abstract

Schlumberger-Doll research (SDR) model is popular in predicting rock permeability, however the intrinsic defects constrain its applicability in coal. Pore structure in coal is complicated while SDR model assumes it is homogeneous. To solve this problem, we conducted water flushing experiments to simulate coalbed methane (CBM) drainage process using nuclear magnetic resonance (NMR) on durain (DHB-9-3), clarain (HP-5-3) and semi clarain (MD-6-6). Through comparative analyses on stress sensitivity, adsorption pores in DHB-9-3, non-adsorbed pores in HP-5-3 and seepage pores in MD-6-6 show a greater sensitivity. The non-adsorbed pores, which are responsible for reservoir permeability, become more complicated under increasing effective stress. The fractal dimension of non-adsorbed pores in DHB-9-3 and HP-5-3 increases from 2.93 to 2.97, and from 2.92 to 2.93 in MD-6-6 when the inlet water pressure reduces from 8 MPa to 3 MPa, indicating a more complicated pore geometry and a longer water flow pathway. As a result, the permeability shows a downward trend. A novel coal permeability prediction model is constructed with a factor of fractal dimension embedded in. Compared with SDR model, the new model is verified to have 0.79 times, 0.16 times and 0.08 times less error rates in DHB-9-3, HP-5-3 and MD-6-6, respectively.

Suggested Citation

  • Wang, Ziwei & Qin, Yong & Shen, Jian & Li, Teng & Zhang, Xiaoyang & Cai, Ying, 2022. "A novel permeability prediction model for coal based on dynamic transformation of pores in multiple scales," Energy, Elsevier, vol. 257(C).
    • Handle: RePEc:eee:energy:v:257:y:2022:i:c:s0360544222016139
    DOI: 10.1016/j.energy.2022.124710
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    as
    1. Luo, D.K. & Dai, Y.J. & Xia, L.Y., 2011. "Economic evaluation based policy analysis for coalbed methane industry in China," Energy, Elsevier, vol. 36(1), pages 360-368.
    2. Zhang, Xiang & Wei, Bing & You, Junyu & Liu, Jiang & Wang, Dianlin & Lu, Jun & Tong, Jing, 2021. "Characterizing pore-level oil mobilization processes in unconventional reservoirs assisted by state-of-the-art nuclear magnetic resonance technique," Energy, Elsevier, vol. 236(C).
    3. Li, Jun & Huang, Qiming & Wang, Gang & Wang, Enmao & Ju, Shuang & Qin, Cunli, 2022. "Experimental study of effect of slickwater fracturing on coal pore structure and methane adsorption," Energy, Elsevier, vol. 239(PE).
    4. Vishal, Vikram & Mahanta, Bankim & Pradhan, S.P. & Singh, T.N. & Ranjith, P.G., 2018. "Simulation of CO2 enhanced coalbed methane recovery in Jharia coalfields, India," Energy, Elsevier, vol. 159(C), pages 1185-1194.
    5. Zhang, Tong & Tang, Ming & Ma, Yankun & Zhu, Guangpei & Zhang, Qinghe & Wu, Jun & Xie, Zhizheng, 2022. "Experimental study on CO2/Water flooding mechanism and oil recovery in ultralow - Permeability sandstone with online LF-NMR," Energy, Elsevier, vol. 252(C).
    6. Edalatpour, M. & Liu, L. & Jacobi, A.M. & Eid, K.F. & Sommers, A.D., 2018. "Managing water on heat transfer surfaces: A critical review of techniques to modify surface wettability for applications with condensation or evaporation," Applied Energy, Elsevier, vol. 222(C), pages 967-992.
    7. Niu, Qinghe & Cao, Liwen & Sang, Shuxun & Zhou, Xiaozhi & Wang, Zhenzhi & Wu, Zhiyong, 2017. "The adsorption-swelling and permeability characteristics of natural and reconstituted anthracite coals," Energy, Elsevier, vol. 141(C), pages 2206-2217.
    8. Geng, Weile & Huang, Gun & Guo, Shengli & Jiang, Changbao & Dong, Ziwen & Wang, Wensong, 2022. "Influence of long-term CH4 and CO2 treatment on the pore structure and mechanical strength characteristics of Baijiao coal," Energy, Elsevier, vol. 242(C).
    9. Zeng, Fang & Dong, Chunmei & Lin, Chengyan & Tian, Shansi & Wu, Yuqi & Lin, Jianli & Liu, Binbin & Zhang, Xianguo, 2022. "Pore structure characteristics of reservoirs of Xihu Sag in East China Sea Shelf Basin based on dual resolution X-ray computed tomography and their influence on permeability," Energy, Elsevier, vol. 239(PD).
    10. Liu, Ang & Liu, Shimin, 2022. "Mechanical property alterations across coal matrix due to water-CO2 treatments: A micro-to-nano scale experimental study," Energy, Elsevier, vol. 248(C).
    11. Fan, Zhanglei & Fan, Gangwei & Zhang, Dongsheng & Zhang, Lei & Zhang, Shuai & Liang, Shuaishuai & Yu, Wei, 2021. "Optimal injection timing and gas mixture proportion for enhancing coalbed methane recovery," Energy, Elsevier, vol. 222(C).
    12. Yan, Min & Zhou, Ming & Li, Shugang & Lin, Haifei & Zhang, Kunyin & Zhang, Binbin & Shu, Chi-Min, 2021. "Numerical investigation on the influence of micropore structure characteristics on gas seepage in coal with lattice Boltzmann method," Energy, Elsevier, vol. 230(C).
    13. Tao, Meng & Jl, Xie & Xm, Li & Jw, Ma & Yang, Yue, 2020. "Experimental study on the evolutional trend of pore structures and fractal dimension of low-rank coal rich clay subjected to a coupled thermo-hydro-mechanical-chemical environment," Energy, Elsevier, vol. 203(C).
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