铜业工程:2022(5):106-108
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基于DIMINE的采场矿体品位预测分析
艾昔文1, 曾阳2, 游皓明1
(1.江西铜业股份有限公司武山铜矿;2.江西铜业集团有限公司)
Prediction and Analysis on Ore body Grade Based on DIMINE Software
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本文已被:浏览 1258次   下载 2476
投稿时间:2022-05-23    修订日期:2022-08-23
中文摘要: 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。
中文关键词: 采矿技术      品位预测  DIMINE软件
Abstract: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.
文章编号:20220523001     中图分类号:TF041
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引用文本: 艾昔文,曾阳,游皓明.基于DIMINE的采场矿体品位预测分析[J].铜业工程,2022,(5):106-108