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基于边界分析的刚果(金)某铜钴矿床氧化矿资源量估算

  • 作者:
  • 谢徽
  • 作者单位:
  • 中铁资源集团有限公司北京技术咨询分公司
  • 基金项目:

  • 国外矿产资源风险勘查专项资金项目(201120B04700102);中铁资源集团有限公司科技项目(2012重点02,2021重点02)
  • 详细信息:

  • 作者简介:
  • 谢徽(1981—),女,高级工程师,硕士,从事工程项目管理与三维建模工作;E-mail:xiehui422@163.com
  • 通讯作者:
  • isnull
  • PDF下载

Oxide ore resource estimation of a Cu-Co Deposit in the Democratic Republic of Congo based on boundary analysis

  • English Author:
  • Beijing Technical Consulting Branch of China Railway Resources Group Co.,Ltd.
  • Unit:
  • 摘要
  • 在线预览
  • 参考文献

摘要:

传统方法进行氧化矿资源量估算,一般采用工业品位圈定矿体并用矿体内数据进行估值。实践表明,传统圈矿方法会增强工业品位域内高品位数据的连续性,而导致显著的品位高估。边界分析通过考察特定地质域或品位域边界一定范围内的样品品位变化,对边界类型进行判断。硬边界条件下仅采用工业品位域内数据进行估值,而软边界条件下矿化域内数据也应参与资源量估算。实际案例研究结果表明,采用软边界?跫薪:凸乐担悸橇搜肥菰诘刂屎屯臣粕系牧裕乐底既范雀撸也换嵋怕┕ひ悼筇濉8梅椒鞒碳虻タ旖荩际踔馗葱郧浚ψ魑慕淖试戳抗浪惴椒ń徊酵乒阌τ谩?

关键词:

距离幂次反比;分形分析;变异函数;硬边界;软边界;夹石;资源量估算

Abstract:

In the traditional method of oxide ore resource estimation,the industrial grade is usually used for the delineation of ore bodies,and the data in the ore bodies are used for the estimation.Case studies show that traditional methods can enhance the continuity of high-grade data in the industrial grade domain which leads to a significant overestimate of ore grades.Boundary analysis can judge the boundary type by examining the sample grade changes within a certain range of the boundary of a specific geological domain or grade domain.Under the hard boundary condition,only the data in the industrial grade domain are used for estimation,while under the soft boundary condition,the data in the mineralization domain should also be involved in the resource estimation.The actual case study shows that the use of soft boundary conditions for modeling and estimation and the considerations of the geological and statistical continuity of sample data lead to high estimation accuracy without missing industrial ore bodies.The method has the advantages of a simple and rapid process,and strong technical repeatability,and should be promoted as an improved resource estimation method.

Keywords:

inverse distance power;fractal analysis;variogram;hard boundary;soft boundary;horse rock;resource estimation