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金属矿山 ›› 2015, Vol. 44 ›› Issue (02): 108-112.

• 地质与测量 • 上一篇    下一篇

基于DIMINE的红龙厂铜矿床地质建模与储量计算

余璨1,李峰1,张达兵2,陈明贵2   

  1. 1.昆明理工大学国土资源工程学院,云南 昆明 650093;2.玉溪矿业矿山研究院,云南 玉溪 653100
  • 出版日期:2015-02-15 发布日期:2015-07-29

Geological Modeling and Calculation of the Reserves of Honglongchang Copper Deposit Based on DIMINE

Yu Can1,Li Feng1,Zhang Dabing2,Chen Minggui2   

  1. 1.Faculty of Resource Engineering,Kunming University of Science and Technology,Kunming 650093,China;2.Yuxi Mining Research Institute,Yuxi 653100,China
  • Online:2015-02-15 Published:2015-07-29

摘要: 根据云南元江红龙厂铜矿区地质勘查资料,结合DIMINE软件建立了矿床地质数据库,构建了矿区断层及矿体的三维实体模型,不仅实现了钻孔数据信息的三维可视化,而且直观、真实地揭示了矿体的产出位置及空间形态特征。基于地质统计学原理,筛选出钻孔样品数据并对其进行组合,根据组合后样品的统计分布特征,建立了矿区变异函数模型,利用普通克里格法对矿床内铜品位块体进行赋值,结合赋值结果,采用块段模型法对矿床储量进行估算。结果表明,红龙厂铜矿建模精度较高,储量计算结果较为可靠,可为矿山资源动态管理及后续生产工作提供重要的理论依据。

关键词: 地质建模, 储量计算, 三维实体模型, 变异函数模型, 克里格法, 块段模型法

Abstract: According to the geological exploration data of the Honglongchang mining area in Yuanjiang county,Yunnan province,combining with the DIMINE software,the ore deposit geology database and the three-dimensional entity model of the faults and ore-body in mining area are established.So,the three-dimensional visualization of the drilling data information is realized,and also the output location and space morphology characteristics of the ore-body are revealed intuitively and truly.The borehole samples data are selected and grouped based on the principle of geostatistics.According to the statistical distribution characteristic of the grouped samples,the variation function model of the mining area is established.The copper grade blocks are assigned value by using the ordinary kriging method.Combing with the assigned value,the segment model method is adopted to calculate the ore deposit reserves.The research results show that,the copper mine modeling in Honglongchang mining area has a higher precision,and the reserves calculation results are reliable.The above research results can provide an important theoretical basis for dynamic management of the mining resources and the subsequent production work.

Key words: Geological modeling, Calculation of reserves, Three-dimensional entity model, Variation function model, Kriging method, Segment model method