潘一矿煤与瓦斯突出危险性模式识别与概率预测  

Coal and gas outburst pattern recognition and possibility prediction of Panyi Mine

作　　者：张宏伟[1] 李胜[1] 袁亮[2] 刘永庆[2] 

机构地区：[1]辽宁工程技术大学,阜新123000 [2]淮南矿业(集团)有限责任公司,淮南232001

出　　处：《北京科技大学学报》2005年第4期399-402,共4页Journal of University of Science and Technology Beijing

基　　金："十五"国家科技攻关项目(No.2001BA80380404)

摘　　要：通过地质动力区划方法确定了区域地质构造背景.在查明多个突出影响因素与突出危险性之间的内在联系的基础上,建立了多因素模式识别模型,确定了煤与瓦斯突出概率预测准则,采用多因素模式识别概率预测方法完成煤与瓦斯突出危险性的区域预测.划分潘一矿井田的煤与瓦斯突出危险区、突出威胁区和无突出危险区,对煤与瓦斯突出危险性做出了评估,提高了瓦斯灾害预测的准确性.The regional geological fault was determined by the geo-dynamic zoning method. Based on analyzing the relations between the influential factors and the dangerousness of coal and gas outburst, a muti-factor model of pattern recognition was established. The pattern recognition method was applied to predict the regional hazard of coal and gas outburst. Panyi mining area was then divided into the coal and gas outburst dangerous area, threatening area and safe area to assess and predict the hazard of coal and gas outburst. The prediction accuracy of gas in coal and gas outburst was improved.

关 键 词：煤与瓦斯突出 模式识别 概率预测 地质动力区划 

分 类 号：TD713.2[矿业工程—矿井通风与安全]