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The Power of Bazin-Production Forecasting with the Bazin Methodology

  • Frank Laroche
  • David Di SandroEmail author
  • Andre Vien
Article
  • 5 Downloads

Abstract

Back in 1994, Claude Bazin presented a novel method for linking size data from milling models to the feed input of flotation models. It was achieved with the simple addition of a metal/mineral distribution—size distribution relationship. This allows grade and recovery predictions from a varying mine plan via product size distribution predictions. This paper presents a case study where this elegant method has been used to build a very powerful forecaster at a process plant, built from historic operating data. The methodology has been used by this operation to forecast production on a quarterly, annual, and life-of-mine basis since the late 1990s. It has been upgraded several times to incorporate new drivers as the complexity of feedstocks has increased over the years.

Keywords

Forecasting Forecast modelling Regression modelling Bazin Comminution Flotation Recovery by size. 

Notes

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no conflict of interest.

References

  1. 1.
    Bazin C, Grant R, Cooper M, Tessier R (1994) Prediction of metallurgical performances as a function of fineness of grind, Proc. 26th AGM of CMP, OttawaGoogle Scholar
  2. 2.
    Barros E, Machado Leite MM, Cavalheiro AAT (2000) The use of ore microscopy data for flotation process control by means of a liberation model - a case study. CIM Bull 93(1039):55–59Google Scholar

Copyright information

© Society for Mining, Metallurgy & Exploration Inc. 2019

Authors and Affiliations

  1. 1.Teck Highland Valley CopperLogan LakeCanada
  2. 2.Metso Australia LimitedEagle FarmAustralia
  3. 3.Freeport-MacMoRan Mining Co.PhoenixUSA

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