Abstract

Affected by many involved factors, different dimensions, data with large difference, incomplete information and so on, the most optimal selection of regional outburst prevention measures for outburst mine has become a complicated system project. The traditional way of outburst prevention measure selection belongs to qualitative method, which may cause high-cost of gas control, huge quantities of drilling work, long construction time and even secondary disaster. To solve the above-mentioned problems, in light of occurrence status of coal seam gas in No. 21 mining area of Jinzhushan Tuzhu Mine, through grey fixed weight clustering theory and a combination method of qualitative and quantitative analysis, the judging model with multi-objective classification for optimization of outburst prevention measures was established. The three weight coefficients of outburst prevention technology scheme are sorted, in order to determine the advantages and disadvantages of each outburst prevention technology scheme under the comprehensive evaluation of multi-target. Finally, the problem of quantitative selection for regional outburst prevention technology scheme is solved under the situation of multi-factor mode and incomplete information, which provides reasonable and effective technical measures for prevention of coal and gas outburst disaster.

Highlights

  • China is the country with the highest coal production from underground mining in the world, and the main coal production country with the highest percentage mines with high gas and coal-gas outburst [1]-[3]

  • According to the fixed weight method of grey theory, for gas occurrence condition of specific areas, optimizing the preliminary feasible scheme with the multi-objective of the pre-drainage drilling quantities, drilling time, capital investment of gas control, the comprehensive cost of gas treatment and the control ability of secondary disasters will be important for outburst prevention and disaster reduction

  • After the pressure meets the requirements of Outburst Prevention Regulations, constructing crossing hole in haulage roadway or return airway in 4th coal seam sector to carry out striped gas pre-drainage haulage roadway or return airway in 3th coal seam sector

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Summary

Introduction

China is the country with the highest coal production from underground mining in the world, and the main coal production country with the highest percentage mines with high gas and coal-gas outburst [1]-[3]. With the sustained growth of energy demand, depth of coal mining, coal output, intensive production, mining intensity and gas outburst disaster, it has increased along with the continuous development of underground mining [4] [5]. With the increase of mining depth, gas pressure and gas content, coal and gas outburst disasters are on the acceleration. Regional outburst prevention measures include predrainage coal seam sector gas by surface drilling, pre-drainage coal seam sector gas by layer-through boring in floor roadway, pre-drainage coal seam sector gas by drilling along seam, pre-drainage coal roadway strips gas by layer-through boring, pre-drainage region gas when rock cross-cut coal uncovering by layer-through boring, pre-drainage gas in mining region by layer-through boring, pre-drainage gas in mining region by drilling along seam and so on [10]-[15]. According to the fixed weight method of grey theory, for gas occurrence condition of specific areas, optimizing the preliminary feasible scheme with the multi-objective of the pre-drainage drilling quantities, drilling time, capital investment of gas control, the comprehensive cost of gas treatment and the control ability of secondary disasters will be important for outburst prevention and disaster reduction

Overview of No 21 Mining Area of Tuzhu Mine
Classification Models of Optimized Objects
The Division of Grey Classes
Determination of Whitening Weight Function
Determination of Clustering Weights
Clustering Analysis
Implementation Effect
Conclusions
Full Text
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