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克里金插值方法在东易煤矿9201工作面的应用

Application of Kriging Interpolation Method in the 9201 Working Face of Dongyi Coal Mine
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摘要 为解决工作面透明化程度难题,分析现有地质数据特点,采用多参数克里金插值的三维地质建模方法,确定适合东易煤矿的建模方法和参数。其结果表明:1)煤层整体呈现为“西北高,东南低”单斜构造特征;2)随着使用节点数增加,高斯模型下残差平方和与节点数呈现正相关,球状与指数模型下残差平方和与节点数存在一定负相关;3)区域平均数与残差平方和两者关系呈现3个区带,[150,1000]区间表现为负相关关系,[1000,1250]区间为过渡带,[1250,1600]区间表现为正相关关系;4)克里金插值下最优参数为S=15、N=10^(-6)、G=1100,采用指数模型。通过克里金插值方法完成三维地质模型构建,可视化地表现了煤层三维空间起伏形态特征,为煤矿工作面回采和智能化建设提供数据支撑。 To solve the problem of transparency in the working face and analyze the characteristics of existing geological data,a three-dimensional geological modeling method using multi parameter Kriging interpolation is adopted to determine the modeling method and parameters suitable for Dongyi Coal Mine.The results show that:1)the coal seam as a whole presents a monoclinic structural feature of"northwest high,southeast low";2)As the number of nodes increases,the sum of squared residuals in Gaussian models shows a positive correlation with the number of nodes,while in spherical and exponential models,there is a certain negative correlation between the sum of squared residuals and the number of nodes;3)The rela-tionship between regional average and residual sum of squares shows three zones,with a negative correlation in the[150,1000]range,a transition zone in the[1000,1250]range,and a positive correlation in the[1250,1600]range;4)The optimal parameters for Kriging interpolation are S=15,N=10^(-6),G=1100,and exponential model.The Kriging interpolation method was used to construct a three-dimensional geological model, which visually represented the three-dimensional spatial undulating characteristics of coal seams, providing data support for coal mining face mining and intelligent construction.
作者 苏传云 何学明 毕思存 林治忠 马喜瑞 张旭东 刘颂仁 江晓磊 崔俊 SU Chuanyun;HE Xueming;BI Sicun;LIN Zhizhong;MA Xirui;ZHANG Xudong;LIU Songren;JIANG Xiaolei;CUI Jun(Maohua Dongyi Coal Industry Co.,Ltd.,Pinglu District,Shuozhou 036000,Shanxi,China;Shandong Tianshi Security Technology Co.,Ltd.,Zibo 100083,Shandong,China)
出处 《能源研究与管理》 2024年第3期140-145,共6页 Energy Research and Management
关键词 多源数据融合 空间插值 克里金插值 多参数分析 三维地质建模 multi source data fusion spatial interpolation kriging interpolation multi parameter analysis 3D geological modeling
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