Bennett, C.R., Cross, M., Uhrie, J.L., Green, C.R. and Gebhardt, J.E. (2003) A comprehensive copper stockpile leach model: background and parameter sensitivity. In: Proceedings of the Copper 2003-Cobre 2003, the 5th International Conference. Canadian Institute of Mining, Metallurgy and Petroleum, Montreal, Quebec, Canada, pp. 563-579. ISBN 1894475402

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Abstract

The design and development of a comprehensive computational model of a copper stockpile leach process is summarized. The computational fluid dynamic software framework PHYSICA+ and various phenomena were used to model transport phenomena, mineral reaction kinetics, bacterial effects, and heat, energy and acid balances for the overall leach process. In this paper, the performance of the model is investigated, in particular its sensitvity to particle size and ore permeability. A combination of literature and laboratory sources was used to parameterize the model. The simulation results from the leach model are compared with closely controlled column pilot scale tests. The main performance characteristics (e.g. copper recovery rate) predicted by the model compare reasonably well with the experimental data and clearly reflect the qualitiative behavior of the process in many respects. The model is used to provide a measure of the sensitivity of ore permeability on leach behavior, and simulation results are examined for several different particle size distributions.

Item Type:	Conference Proceedings
Title of Proceedings:	Proceedings of the Copper 2003-Cobre 2003, the 5th International Conference
Additional Information:	[1] This paper was first presented at Copper 2003 - Cobre 2003 Symposium held from 30 November - 3 December 2003 in Santiago, Chile. [2] The paper is published in Proceedings of the Copper 2003-Cobre 2003, the 5th International Conference, Vol. 6, Book 1 - Leaching and Process Development [3] ISBN: 1894475402 (v.6, book 1)
Uncontrolled Keywords:	PHYSICA+, copper stockpile leach model, computational modelling
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > TN Mining engineering. Metallurgy T Technology > TP Chemical technology
Pre-2014 Departments:	School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group
Related URLs:	Organisation
Last Modified:	14 Oct 2016 09:01
URI:	http://gala.gre.ac.uk/id/eprint/736

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