为了准确预测一缘煤矿15^#煤层的突出危险性,采用现场跟踪考察和理论分析相结合的方法,对钻屑瓦斯解吸指标K1、钻屑量S和钻孔瓦斯涌出初速度q三项突出预测指标进行了定性筛选和定量计算。研究结果表明,模糊聚类和灰色关联分析法应用于突出预测指标敏感性研究是可行的,可推广应用于类似条件矿井突出预测指标的敏感性分析。
Aims to gain the gas outburst prediction sensitive indexes in the No.15 coal seam of Yiyuan coal mine, gas outburst prediction parameters from massive in-situ tracing test are statistically screened out and qualitatively investigated. And using a combination of fuzzy clustering method and grey correlation method, the three parameters of, gas desorption indexes of drilling cuttings K1, drilling cutting quantity S and initial speed from borehole gas emission q, are quantitatively analyzed. The comprehensive method with fuzzy clustering and grey correlation is feasible for the similar coal mine to identify the sensitivity of gas outburst prediction index.