Research on Application of Mathematical Statistical Method in ProcessingLaoyachao IV Gold Ore Body with Very High Grade
DOI:
CSTR:
Author:
Affiliation:

Clc Number:

TD912

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    In the process of mineral reserve estimation, we often come across the processing of samples with exceptionally high grades, and presently there are two common methods for processing exceptionally high grades, namely Traditional Multiplier Method and Mathematical Statistical Method. By taking the sampling data from the general exploration report of Laoyachao IV gold ore body (Phase II) as the research object, this paper employs the horizontal section method to conduct the resource estimation, and in view of the phenomenon where the geological grades obtained by using the multiplier method are usually undesirably high, it also discusses the lower limit value of exceptionally high grade and the reasonableness of the processing result from multiplier method and mathematical statistical method,. The research shows that the multiplier method lacks the theoretical basis of statistics and is only empirical, while mathematical statistics can well take into account the values of relevant statistical characteristics and has mathematical and statistical implications. After the mathematical and statistical processing, the sample grade variation coefficient has been reduced to some extent, the arithmetic mean of the samples is close to and less than the Sichel valuation, the weighted grade is reduced by 0.35g/t, the geological grade after processing is more consistent with the actual conditions of RoM ore, mitigating the influence of the extra high grade samples.

    Reference
    Related
    Cited by
Get Citation

蔡亚飞,左昌虎,刘崇龙,等.数理统计法在处理老鸦巢Ⅳ号金矿体特高品位中的应用研究[J].中国矿山工程,2022,51(6):30-34.

Copy
Related Videos

Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:
  • Adopted:
  • Online: December 24,2025
  • Published:
Article QR Code