C. Beaumont, C. Musingwini
The Kansanshi mine in northwestern Zambia has been facing challenges in processing ore due to complex mineralogical suites, resulting in poor recovery rates. The original ore classification system, Mat-Type, inadvertently misclassified ore, leading to inefficiencies in the overall mining process. This study aimed to enhance ore quality and mineral processing efficiency by developing a new geomatallurgical ore classification system, OXMAT. A geomatallurgical analysis was conducted to review Mat-Type, culminating in the implementation of OXMAT which streamlined the classification from 22 to 13 categories. The results indicated that within a specific geological model volume, waste tonnes could be reduced by 19%, while ore tonnes increased by 17%. The findings illustrate the significant value that can be achieved through integrated geomatallurgical modelling in mine planning, enhancing the mining operation's overall productivity and ore quality optimization.
@article{0d2d198e-2b82-4521-8225-5fd400d120c3,
title={Application of geometallurgical modellin},
author={C. Beaumont and C. Musingwini},
year={2026},
language={en}
}TY - JOUR TI - Application of geometallurgical modellin AU - C. Beaumont AU - C. Musingwini PY - 2026 LA - en ER -
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