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HENG Xianwei, LI Qingsong. Optimization and application of W-P model for regional prediction index of outburst coal seam[J]. Safety in Coal Mines, 2021, 52(10): 150-156.
Citation: HENG Xianwei, LI Qingsong. Optimization and application of W-P model for regional prediction index of outburst coal seam[J]. Safety in Coal Mines, 2021, 52(10): 150-156.

Optimization and application of W-P model for regional prediction index of outburst coal seam

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  • Published Date: October 19, 2021
  • In order to obtain the internal correlation of gas content and gas pressure suitable for different mining areas in Guizhou Province, and accurately calculate the measured values of the two indexes in line with the characteristics of coal seams, the W-P optimization model was established by statistical analysis of 107 groups of coal seam gas basic parameter data of 57 pairs of mines in 8 mining areas, based on the Langmuir equation, introducing the failure coefficient X and the initial velocity of gas emission △p, and the W-P classical model and W-P optimization model were compared. This paper makes a comparative study on the applicability in Guizhou mining area. The results show that: the gas content and pressure data calculated by W-P optimization model have high fitting degree with the measured value, and the fitting degree gradually increases with the increase of the sample size of the measured value, and the average relative error is 6.44% and 14.27% respectively. Compared with the classical model, the average relative error of the optimization model is reduced by 17.54% and 83.59% respectively; the critical values of gas content and gas pressure in M16 coal seam are determined to be 8.0 m3/t and 0.74 MPa respectively by using W-P optimization model, which is consistent with the gas content and gas pressure at the actual gas dynamic phenomenon in M16 coal seam.
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