基于DIMINE的采场矿体品位预测分析  

Prediction and Analysis on Ore body Grade Based on DIMINE Software

作　　者：艾昔文[1] 曾阳 游皓明 AI Xi-wen;ZENG Yang;YOU Hao-ming(Wushan Copper Mine,Jiangxi Copper Corporation Limited,Ruichang 332204,Jiangxi,China;Jiangxi Copper Company Limited,Nanchang 330000,Jiangxi,China)

机构地区：[1]江西铜业股份有限公司武山铜矿,江西瑞昌332204 [2]江西铜业股份有限公司,江西南昌330000

出　　处：《铜业工程》2022年第5期106-108,116,共4页Copper Engineering

摘　　要：武山铜矿二期技改工程即将完成历史使命,井下可采矿石量逐年减少。为节约矿产资源,优化贫损指标,提高矿山资源综合利用率,利用DIMINE软件中的取样赋值法和网格估值法对预采矿体进行品位预测,做到精准预判矿石品位变化情况和提前安排改进措施,从而提升生产管理水平,延长矿山服务年限。The second phase of technical transformation project of Wushan Copper Mine is about to complete its historical mission,and the amount of ore that can be mined underground is decreasing year by year.In order to save mineral resources,optimize the poverty and loss indicators,and improve the comprehensive utilization rate of mine resources,the sampling assignment method and grid estimation method in DIMINE software are used to predict the grade of the pre mined ore body to accurately predict the change of ore grade and arrange improvement measures in advance,so as to improve the production management level and extend the service life of the mine.

关 键 词：采矿技术 铜 硫 品位预测 DIMINE软件 

分 类 号：TF041[冶金工程—冶金物理化学]