Enhanced Heap Leaching - Part 2: Applications

"Enhanced heap leaching - Part 1: Insights" (Orr, 2002), different flow and transport phenomena that could significantly reduce leaching recovery were investigated. The combination of such understanding with advanced flow and transport modeling establishes the link between cause and effect, thereby, directing operators to optimal design and construction of new heaps. Modeling of flow and transport in heaps could also point to a unique change in application method or rate that would maximize leaching enhancement of an existing heap under existing situation and leaching history. The use of such a model is cost effective in that it can simulate multiple scenarios of alternative leaching enhancement methods. By simulating a large number of irrigation scenarios, such a model can point to the optimal and/or the most promising alternatives for a particular heap. The authors' simulations concentrate on the effects of changes in application rates and heap design on changes in flow paths and enhanced leaching recovery. Based on such simulations, an intelligent control agent, such as Multiple Resolution Decision-Support System (MRDS) (Meystel and Albus, 2002), could build a new representation of the complex heap-leaching system. And, by learning from historical data and current information, it could provide optimal management of heap leaching and heap decommissioning.