Pore pressure propagation in a permeable thin-layer coal seam based on a dual porosity model: A case of risk prediction of water inrush in coalmines

被引:0
|
作者
Zhu, B. [1 ]
Gao, F. [1 ]
Yang, J. W. [2 ]
Zhou, G. Q. [1 ]
机构
[1] Guilin Univ Technol, Coll Earth Sci, Guilin 541004, Guangxi, Peoples R China
[2] Univ Windsor, Dept Earth & Environm Sci, Windsor, ON N9B 3P4, Canada
关键词
CONTINUUM;
D O I
10.1088/1755-1315/39/1/012031
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Thin-layer coal seams, a type of filling coal rock body, are considered aquifer systems made up of dual porosity medium with immediate floor. A numerical simulation for the pore pressure propagation along a thin-layer coal seam was carried out for the case of the Zhaogezhuang coalmine in China. By valuing the permeability (K-f) of the thin-layer coal seam, pore pressure variation with time was simulated and compared to the analytical solutions of a dual porosity model (DPM). The main conclusions were drawn as follow: (1) Seepage in the thin-layer coal seam was predominant in the whole process, and the distance of seepage was lengthened and the pore pressure decreased with increased K-f; (2) A series of simulated hydraulic graphs demonstrated that the pore pressure characteristics of peak-occurring and time-lag effects agreed with the analytical solutions of DPM; (3) By adjusting the parameters of DPM, two results of analytical solutions and numerical solutions fit well, particularly in the thin-layer coal seam; (4) The power law relationship between the peak-values and lag time of pore pressure were derived statistically under consideration of the K-f parameter in the range of 10(-8) to 10(-10) m(2)/pa.s orders, and it was reasonable that the K-f of the thin-layer coal seam was in the range of 10(-8) m(2)/pa.s orders. The results were significantly helpful in decision-making for mining water prevention and prediction in practice.
引用
收藏
页数:19
相关论文
共 12 条
  • [1] Water Inrush Risk Prediction Based on the Coal Seam Floor Thickness of Effective Confining
    Zhang Yujun
    Li Fengming
    PROCEEDINGS OF 2015 INTERNATIONAL SYMPOSIUM - SAFETY AND HIGH EFFICIENCY MINING IN COAL, 2015, : 281 - 291
  • [2] Refinement Study on the Water-Inrush Risk of Close-Distance Thin Coal Seam Mining with Pressure in the Lower Coal Seam
    Xue, Yu
    Zhu, Shuyun
    Qiu, Heming
    MINE WATER AND THE ENVIRONMENT, 2023,
  • [3] Prediction of the Water Inrush Risk from an Overlying Separation Layer in the Thick Overburden of a Thick Coal Seam
    Xie, Daolei
    Du, Zhongwen
    Han, Chenghao
    Han, Jie
    Wei, Jiuchuan
    Yan, Jiulei
    SUSTAINABILITY, 2023, 15 (18)
  • [4] Prediction model of water inrush risk level of coal seam floor based on KPCA-DBO-SVM
    Wang, Wei
    Wang, Huangrui
    Li, Xuping
    Qi, Yun
    Cui, Xinchao
    Bai, Chenhao
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [5] Prediction model of fracture depth and water inrush risk zoning in deep mining coal seam floor
    Ang Li
    Xuesong Ding
    Zhenzi Yu
    Man Wang
    Qian Mu
    Zhixu Dai
    Hongyue Li
    Bo Zhang
    Tairan Han
    Environmental Earth Sciences, 2022, 81
  • [6] Prediction model of fracture depth and water inrush risk zoning in deep mining coal seam floor
    Li, Ang
    Ding, Xuesong
    Yu, Zhenzi
    Wang, Man
    Mu, Qian
    Dai, Zhixu
    Li, Hongyue
    Zhang, Bo
    Han, Tairan
    ENVIRONMENTAL EARTH SCIENCES, 2022, 81 (11)
  • [7] Synchronous Inversion of Coal Seam Gas Pressure and Permeability Based on a Dual Porosity/Dual Permeability Model and Surrogate Optimization Algorithm
    Quanlin Liu
    Zhonghui Li
    Enyuan Wang
    Xiaojun Feng
    Xiangguo Kong
    Dongming Wang
    Natural Resources Research, 2023, 32 : 2115 - 2136
  • [8] Synchronous Inversion of Coal Seam Gas Pressure and Permeability Based on a Dual Porosity/Dual Permeability Model and Surrogate Optimization Algorithm
    Liu, Quanlin
    Li, Zhonghui
    Wang, Enyuan
    Feng, Xiaojun
    Kong, Xiangguo
    Wang, Dongming
    NATURAL RESOURCES RESEARCH, 2023, 32 (05) : 2115 - 2136
  • [9] Risk assessment of floor water inrush based on TOPSIS combined weighting model: a case study in a coal mine, China
    Li, Qiang
    Lu, Cunjin
    Zhao, Hui
    EARTH SCIENCE INFORMATICS, 2023, 16 (01) : 565 - 578
  • [10] Risk assessment of floor water inrush based on TOPSIS combined weighting model: a case study in a coal mine, China
    Qiang Li
    Cunjin Lu
    Hui Zhao
    Earth Science Informatics, 2023, 16 : 565 - 578