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由于煤层中瓦斯的含量是防治煤矿瓦斯的一项重要指标,以常村矿3#煤层钻孔的统计数据为基础,对这些数据进行统计线性回归并利用瓦斯地质因素分析的方法,找到了影响煤层瓦斯含量的主要因素,运用丰富的钻孔数据和量化的方法,并用多元线性回归建立了可以预测煤层瓦斯含量模型,这种预测可以为矿井瓦斯防治提供一定的依据,以此达到对矿井瓦斯的含量及其分布规律进行有效预测的目的。
Since the gas content in the coal seam is an important indicator to prevent and control coal mine methane, based on the statistical data of the drilling of No.3 coal seam in the Changcun coal mine, statistical linear regression of these data and the use of gas geological factor analysis method were used to find out the impact The main factors of gas content in coal seam, using abundant drilling data and quantitative methods, and using multivariate linear regression model to predict gas content in coal seams, this prediction can provide some basis for mine gas prevention and control, in order to achieve the mine gas The content and distribution of the effective prediction of the purpose.