在煤层开采过程中,经常会遇到一些瓦斯异常带,在这些异常带(特别是高瓦斯带)进行采掘作业时,推进速度不但缓慢,而且极易造成瓦斯突出或瓦斯爆炸事故,对于这种情况,运用煤矿瓦斯异常带超前判识技术就能得到很好解决,本文在分析瓦斯异常带成因的基础上,采用趋势分析方法,用趋势面来模拟瓦斯带的分布规律,设定趋势分析剩余值的阈值即可以划定出瓦斯异常带,对不同的异常带采用不同的瓦斯治理措施,可以做到有的放矢,取得良好的经济效益和社会效益.将本技术应用于平顶山十矿戊9—10煤层,结果表明,用趋势面剩余值作为超前判识煤层中的瓦斯异常带的特征参量,不仅合理、可行,而且其判识结果也具有很高的可靠性。
In process of mining, usually there are some abnormal gas zones. When mining in these abnormal gas zones (especially in high gas zones), the mining is very slow and gas outburst or gas explosion takes place very easily. Based on information of abnormal gas zones, a trend surface method is used to simulate gas distributing rule in the paper. By setting a valve, abnormal gas zones can be located, which is more effective to dispose of different gas zones by reasonable ways. The result shows that the method is reasonable, feasible and dependable.