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Estimating Quartz Reserves Using Compositional Kriging

Author

Listed:
  • J. Taboada
  • Á. Saavedra
  • C. Iglesias
  • E. Giráldez

Abstract

The aim of this study was to determine spatial distribution and volume of four commercial quartz grades, namely, silicon metal, ferrosilicon, aggregate, and kaolin (depending on content in impurities) in a quartz seam. The chemical and mineralogical composition of the reserves in the seam were determined from samples collected from outcrops, blasting operations, and exploratory drilling, and compositional kriging was used to calculate the volume and distribution of the reserves. A more accurate knowledge of the deposit ensures better mine planning, leading to higher profitability and an improved relationship with the environment.

Suggested Citation

  • J. Taboada & Á. Saavedra & C. Iglesias & E. Giráldez, 2013. "Estimating Quartz Reserves Using Compositional Kriging," Abstract and Applied Analysis, Hindawi, vol. 2013, pages 1-6, May.
    • Handle: RePEc:hin:jnlaaa:716593
    DOI: 10.1155/2013/716593
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    Cited by:

    1. Nelson K. Dumakor-Dupey & Sampurna Arya, 2021. "Machine Learning—A Review of Applications in Mineral Resource Estimation," Energies, MDPI, vol. 14(14), pages 1-29, July.

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