摘要
基于地质动力区划、区域地应力场测量和模拟研究成果、瓦斯地质研究成果、分析研究成果、地质勘探成果,提取有关信息进行综合评判分析,应用多因素模式识别概率预测方法对影响突出的诸因素进行模式度量,对鹤壁八矿二1煤层煤与瓦斯突出的危险性做出分类,划分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评估,得出包括影响因素评价的煤与瓦斯突出危险性的定量综合判据,为开采二1煤层防治突出采取有针对性的措施提供了技术支撑。
Based on geo-dynamic division, regional stress measure and simulation study, gas geology research, fractal research and geology reconnoitering result, the extraction information is synthetically intelligent analyzed. On the basis of analyzing internal relations between every influence factors and outburst fatalness, the multi-factor pattern recognition probability prediction method is applied to pattern measure multi-factor affecting outburst, to classify the fatalness of II1 coal seam in the eighth mine of Hebi, to divide into coal and gas outburst dangerous area, threat area and safety area, to assess and predict the danger of coal and gas outburst. Consequently the quantificational synthesis criterion including influence factors assessment is obtained. The technical support is provided for adopting appropriate measures to prevent outburst of II1 coal seam.
出处
《煤炭技术》
CAS
北大核心
2011年第7期90-91,共2页
Coal Technology
关键词
煤与瓦斯突出
地质动力区划
模式识别
区域预测
coal and gas outburst
geo-dynamic division
pattern recognition
regional prediction