Advances in computational modeling provide unprecedented process simulation tools for the process engineer to examine and explore options for optimizing heap leach operations. A phenomenological model developed within a computational fluid dynamic software framework provides a general heap leach modeling tool that describes reactive dissolution and fluid flow through the stockpile. A one-dimensional form of the model is used to parameterize the kinetic leach reactions for a mixture of copper sulfide and oxide minerals against data from operational leach tests. A two dimensional version of the model provides a means to investigate the effects of irrigation rate, lift height, air injection, bacteria limitations, and other factors on recovery and pregnant leach solution concentrations. The model was calibrated for the Nifty Copper operation and ore type in order to simulate heap performance. Model simulations are reported for the chalcocite-type ore and compared to process data. The application showed that the multidimensional nature of heap leaching causes heterogeneous effects that are not always adequately described by one-dimensional models. Irrigation flow rate and aeration effects were simulated for a multi-lift heap section, and model results indicated that air injection at the base of the second lift would be required to achieve expected copper recovery under these lift height and flow conditions.
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