Reducing coal quality variability with size optimization of blending piles

The Southern African Institute of Mining and Metallurgy
F. S. Beretta
Organization:
The Southern African Institute of Mining and Metallurgy
Pages:
6
File Size:
2523 KB
Publication Date:
Jan 1, 2009

Abstract

Mineral processing efficiency depends on various factors and among them includes head grade fluctuations feeding the processing plant. Head grades can fluctuate beyond an admissible range, implying in recovery decrease for the mineral of interest. Grades feeding the processing plant depend on the geological domain which is being mined and on the mining schedule. Therefore, it is necessary to keep grade variability controlled. Blending piles are an efficient alternative to reduce grade fluctuations. The main factors influencing blending efficiency are the pile size or its mass and the number of layers used to pile up. Large piles are more efficient to reduce variability, however, there are economical and operational limits associated with them. This study investigates a methodology to analyse the ideal pile size to reach an acceptable variability given the in situ grade fluctuations. Geostatistical simulations provide the means to assess grade variability using an optimized mining schedule. These block grades are used to simulate any given pile throughout the mine`s life. The methodology was illustrated using a case study to control coal ash content at a mine supplying ROM coal to a power plant. Keywords: homogenization, piles, geostatistical simulation.
Citation

APA: F. S. Beretta  (2009)  Reducing coal quality variability with size optimization of blending piles

MLA: F. S. Beretta Reducing coal quality variability with size optimization of blending piles. The Southern African Institute of Mining and Metallurgy, 2009.

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