摘要
以邯峰矿区53个钻孔中2#煤层资料为基础数据进行线性回归分析,首先初步确定原煤水分、挥发分、灰分、煤厚、煤层倾角、埋深、顶板(岩性、厚度)和底板(岩性、厚度)等因素与煤层瓦斯含量的相关程度,并将其定量化,经一元线性拟合筛选,删除对2#煤层瓦斯含量影响较小的灰分和底板因素,对余下因素再进行多元线性拟合,建立2#煤层瓦斯含量与2#煤的水分、挥发分、埋深、煤厚、煤层倾角和顶板(岩性、厚度)的多元线性回归方程。经检验该方程较好地表达了瓦斯含量与相关因素的定量关系,预测值与实测值接近,可作为邯峰矿区预测其它钻孔2#煤层瓦斯含量的数学模型。
To take the data from 53 boreholes intersecting No.2 coal seam in the Handan-Fengfeng mining area as the basic data for linear regression analysis, tentatively determined the relation between coal seam gas content and factors including raw coal moisture, volatile matter, ash content, coal seam thickness, dip angle, buried depth, roof and floor （lithology and thickness） and have them quantized. After unitary linear fitting, have deleted factors of ash content and floor which are less impacting on No.2 coal gas content. Then carried out multivariate linear fitting and established an equation of multivariate linear regression for No.2 coal gas content and moisture, volatile matter, buried depth, thickness, dip angle and roof （lithology and thickness）. Finally through examining the equation expressed the quantized relation between gas content and related factors better, predicted and measured values are similar each other, thus considered the equation can be a mathematical model for Handan-Fengfeng mining area No.2 coal seam other borehole gas content prediction.
出处
《中国煤炭地质》
2010年第5期32-35,共4页
Coal Geology of China
关键词
线性回归
瓦斯预测
邯峰矿区
linear regression
gas prediction
Handan-Fengfeng mining area
