Computer-Aided Optimization Of Mineral Processing Plants, A Case Study: Increasing The Capacity Of The Shila Gold Mine, Peru

Society for Mining, Metallurgy & Exploration
Organization:
Society for Mining, Metallurgy & Exploration
Pages:
16
File Size:
782 KB
Publication Date:
Jan 1, 1993

Abstract

Mineral processing plant operators are faced with the necessity to choose between many different possibilities for plant improvement. Only a few such possibilities, however, can be tested on the industrial site. Steady-state simulators make it possible to assess the effects of several different flowsheet modifications in a few days, thus helping the process engineer to make his choice implement the solution that seems the most appropriate and check it. The example described here is the crushing and grinding circuit of the Shila Gold Mine, jointly owned by CEDIMIN SA and BUENAVENTURA SA, in Peru. Several possible modifications for the purpose of increasing capacity have been simulated and the results assessed in terms of technical quality, investment costs and energy consumption. The best solution indicated by the USIM PAC simulator was implemented and gave a 20% increase in capacity with a pay-back time of two months.
Citation

APA:  (1993)  Computer-Aided Optimization Of Mineral Processing Plants, A Case Study: Increasing The Capacity Of The Shila Gold Mine, Peru

MLA: Computer-Aided Optimization Of Mineral Processing Plants, A Case Study: Increasing The Capacity Of The Shila Gold Mine, Peru. Society for Mining, Metallurgy & Exploration, 1993.

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