scholarly journals Regional prediction of coal and gas outburst hazard based on multi-factor pattern recognition

2009 ◽  
Vol 1 (1) ◽  
pp. 347-353 ◽  
Author(s):  
Song Wei-hua ◽  
Zhang Hong-wei
2013 ◽  
Vol 58 (3) ◽  
pp. 779-787
Author(s):  
Vlastimil Hudeček ◽  
Pavel Zapletal ◽  
Milan Stoniš ◽  
Radislav Sojka

Abstract In the Czech Republic, the prevention of rock and gas outbursts is carried out in the course of driving mine workings in seams and in sandstone and conglomerate beds classified into a category with the highest degree of rock and gas outburst hazard. It is a case of active methods that aim at prevention of rock and gas outbursts by creating a protection zone in front of and in sides of mine workings being driven and passive methods that mitigate the effects of outbursts (Hudeček et al., 2009, 2010). In this article, authors present recommendations and proposals for changes in rock and gas outburst prevention. These proposed changes should reflect in increased efficiency in coping with this anomalous geomechanical events.


2012 ◽  
Vol 157-158 ◽  
pp. 484-488
Author(s):  
Qing Li

In this paper, based on geological power division method of qidong well find out fault block coal mine, determined the change law of the ground stress coal mine, combining geological structure distribution situation, distribution, coal seam gas igneous rock and the pressure distribution rule, the structure of coal change situation analysis, USES the many factors in wanhei coal and electricity group coal mine coal layer 3 qidong well of coal and gas outburst prediction area, for mine power phenomenon regional prediction has provided a new way and method.


2014 ◽  
Vol 73 (3) ◽  
pp. 1715-1731 ◽  
Author(s):  
Cai-Ping Lu ◽  
Lin-Ming Dou ◽  
Nong Zhang ◽  
Jun-Hua Xue ◽  
Guang-Jian Liu

2013 ◽  
Vol 868 ◽  
pp. 374-379
Author(s):  
Jie Zhang ◽  
Hong Wei Ma

The research on predicting gas outburst hazard on the basis of the unbalanced problem of gas monitoring samples under usual circumstances is given in this paper. Combined with outburst-preventing monitoring parameters, a new kind of method of predicting gas outburst hazard based on v-SVM algorithm through analyzing features of real-time gas monitoring data and extracting parameters of gas concentration real-time variation trend, parameters of gas variation rates and feature parameters of gas emission is put forward in this paper. And the application shows that this algorithm for the prediction of actual gas emission in coal mines is effective.


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