China Safety Science Journal ›› 2021, Vol. 31 ›› Issue (2): 40-47.doi: 10.16265/j.cnki.issn 1003-3033.2021.02.006

• Safety engineering technology • Previous Articles     Next Articles

Study on accuracy of coal seam gas pressure measurement based on its spatial and temporal distribution characteristics

WANG Liang1,2, SUN Yimin1, CHU Peng1, ZHAO Wei2,3, ZOU Shuangying4   

  1. 1 School of Safety Engineering, China University of Mining and Technology, Xuzhou Jiangsu 221116, China;
    2 Key Laboratory of coal mine gas and fire prevention Ministry of Education, China University of Mining and Technology, Xuzhou Jiangsu 221116, China;
    3 School of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China;
    4 Shandong Coalfield Geology Bureau, Tengzhou Shandong 277500, China
  • Received:2020-11-28 Revised:2021-01-16 Online:2021-02-28 Published:2021-08-18

Abstract: In order to obtain reliable field measured results of coal seam gas pressure and realize scientific evaluation and precise prevention for coal seam outburst disasters, theoretical analysis, numerical simulation and field test were utilized to analyze spatial and temporal distribution of measure gas pressure based on gas flow model and gas pressure recovery curve with dual pore medium as object.Then engineering verification was carried out in No.10 coal seam in Taoyuan coalmine Ⅱ1 mining area.The results show that when matrix gas pressure and fracture gas pressure are in a dynamic balance, the measured results are the closest to real value. Accurate simulation of gas pressure spatial and temporal distribution could be realized by using gas flow equation of coal seam pressure measurement with COMSOL. When measured gas pressure recovery curve is consistent with simulated distribution regulation, and falls within engineering range of predictive values, it could be considered as real value. So the field measurement is accurate as it shows the recovery curve's consistency with simulated results.

Key words: gas pressure, recovery curve, spatial and temporal distribution, numerical simulation, pressure measurement

CLC Number: