Model Predictive Control as a Tool For Production Ramp-Up and Optimization at the Nkomati Nickel Mine

Canadian Institute of Mining, Metallurgy and Petroleum
D. G. Almond
Organization:
Canadian Institute of Mining, Metallurgy and Petroleum
Pages:
20
File Size:
1074 KB
Publication Date:
Jan 1, 2012

Abstract

Nkomati Nickel Mine in South Africa processes one of the world?s hardest ores in a 375k TPM autogenous grinding circuit. The plant employs an unconventional processing circuit, comprising a primary autogenous mill (AG or FAG) and pebble crushing circuit followed by a secondary hybrid pebble/ball mill and classification cyclone cluster. Advanced Process Control (APC) or Expert Control is now generally accepted as an advantage in most modern high capacity concentrator grinding circuits. This paper reviews the installation of model predictive control at Nkomati and examines the results and benefits of installation in an autogenous mill during plant ramp-up. The paper also demonstrates how predefining process control objectives together with good plant and supplier cooperation can achieve a robust and reliable APC implementation on a very short site program. The results conclusively demonstrate operational and economic benefits during circuit operation with the advanced process control system ON. Production performance and circuit stability were significantly better than during manual control.
Citation

APA: D. G. Almond  (2012)  Model Predictive Control as a Tool For Production Ramp-Up and Optimization at the Nkomati Nickel Mine

MLA: D. G. Almond Model Predictive Control as a Tool For Production Ramp-Up and Optimization at the Nkomati Nickel Mine. Canadian Institute of Mining, Metallurgy and Petroleum, 2012.

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