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作 者:朱青凌[1,2] 罗周全[3] 刘晓明[3] 李畅[1,2]
机构地区:[1]长沙矿山研究院有限责任公司,湖南长沙410012 [2]金属矿山安全技术国家重点实验室,湖南长沙410012 [3]中南大学资源与安全工程学院,湖南长沙410083
出 处:《矿冶工程》2012年第6期9-13,共5页Mining and Metallurgical Engineering
基 金:"十一五"国家科技支撑计划项目(2007BAK22B04-12);中南大学研究生学位论文创新基金资助(1960-71131100008)
摘 要:在研究储量估算原理与方法的基础上,以Surpac矿业软件为工具,结合某钨矿矿山实况,建立了矿山地质数据库、矿体模型和块体模型,对原始样品进行组合,根据品位分布规律选择合理的数学模型,拟合出理论变异函数曲线,经过交叉验证选出最优变异函数参数值。在块体模型中,分别采用普通克立格法和距离幂次反比法对金属元素Wo品位进行估值和储量计算,并且与矿山使用的传统块段法计算的结果进行了对比,分析了不同估值方法之间误差产生的原因。研究表明,块体模型储量估算结果准确可靠,其中普通克立格估值法优于距离幂次反比法和块段法,它更体现了区域化变量的空间结构特征。Based on the studies of reserves estimation theory and method,a geodatabase,orebody model,block model were established according to the actual situation of a tungsten mine by using Surpac mining software.Fitting theoretical variogram based on the appropriate mathematical model selected according to the grade distribution law,the optimal variable function parameters was decided by cross-validation.In the block model,the Ordinary Kriging and Inverse Distance Estimation method were used to analyze and estimate the Wo grade and reserves statistics.The results obtained were compared with that from traditional block method by mine,with the reason and influencing factors for the errors occurred analyzed.It is concluded from the research that the reserves estimation of block model are credible,and Ordinary Kriging method is superior to both Inverse Distance Estimation method and block method,which can better reflects the spatial structure characteristic of regionalized variables.
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