基于灰色-神经网络的新安煤田煤与瓦斯突出强度预测  

Intensity Forecasting of Coal and Gas Outburst Based on Gray Neural Network in Xi'an Coal Field

作　　者：史广山[1,2] 王春光 高志扬[1,2] 冉小勇 

机构地区：[1]河南理工大学安全科学与工程学院,河南焦作454000 [2]河南省瓦斯地质与瓦斯治理重点实验室-省部共建国家重点实验室培育基地,河南焦作454000 [3]煤科集团沈阳研究院有限公司,辽宁抚顺113122

出　　处：《煤矿安全》2015年第9期166-168,共3页Safety in Coal Mines

基　　金："十二五"国家科技支撑计划重大专项资助项目(2011ZX05040-005);长江学者和创新团队发展计划资助项目(IRT1235)

摘　　要：通过新安煤田二1煤层煤与瓦斯突出强度进行灰关联分析,确定了影响突出强度优势因素,利用改进的BP算法对新安煤田突出强度进行了预测,结果表明:煤层顶板砂岩厚度是影响煤田突出强度的最主要因素,煤厚、瓦斯压力次之;大型突出主要集中在顶板砂岩厚度大、瓦斯压力高的新安矿西南部小断层密集区、新义矿中部断层密集区、义安矿中部F29断层及其伴生断层附近区域等区域。Through the grey relevance analysis of the intensity of coal and gas outburst in Xin＇an Coal Field,we determined the outburst factors of intensity of coal and gas outburst. Improved BP algorithm was used to predict the intensity of coal and gas outburst of Xi＇an Coal Field. The results show that the thickness of the roof of sandstone is the main influence factors of coal outburst intensity and then there are the coal thickness and gas pressure,large- scale outbursts are mainly in the place where the thickness sandstone roof is heavy and the gas pressure is greater,such as in the southwest of Xin＇an Mine and in the middle of Xinyi Mine where the faults are intensive,also on the surrounding of F29 fault in the middle of Yi＇an Mine,the intensity of coal and gas outburst is higher.

关 键 词：煤与瓦斯突出 突出强度 突出预测 灰色神经网络 

分 类 号：TD713[矿业工程—矿井通风与安全]