A Decision Support System for Changes in Operation Modes of the Copper Heap Leaching Process

Chilean mining is one of the main productive industries in country. It plays a critical role development Chile, so process planning an essential task achieving high performance. This involves considering mineral resources and operating conditions to provide optimal realistic copper extraction processing strategy. Performing modes operation requires significant effort information generation, analysis, design. Once mode plans have been made, it select most appropriate one. In this context, intelligent system that supports decision-making has potential improve industry’s work, knowledge-based decision support for managing heap leaching presented. The domain was modeled using ontology. interdependence between variables encapsulated set rules defined by experts dynamics utilizing inference engine (adjusted with data feeding coded) used predict (through phenomenological models) possible consequences variations feeding. work shows approach integrate operational sites, being novel way contribute complex environments.