Few studies have been published on the analysis and correlation of data from process mineralogical gold ore employing artificial neural networks (ANNs). This study aimed to analyse investigate correlations obtained by technological characterization auriferous using an ANN called self-organizing map (SOM) support geometallurgical studies. The SOM is a technique in which patterns relationships wi...

The depletion of mining resources forces the industry to process more heterogeneous and complex orebodies. inherent heterogeneity these orebodies their relation processing recoveries have received considerable interest in recent years. properties ores, such as mineral composition association, are known affect flotation performance. Even ores with similar compositions can vary significantly rega...

The search for alternatives that minimize the generation of tailings and enable their reuse, leads to characterization studies with objective a better understanding physical, chemical mineralogical properties iron ore tailings. increase in demand high-quality overlapping extraction increasingly lower concentration levels, is part challenge mineral exploitation. In view aforementioned needs, mor...

Geometallurgy integrates aspects of geology, metallurgy, and mine planning in order to improve decision making mining schedules. A geometallurgical model is a 3D space that typically synthesized from early-stage small-scale samples composed several metallurgical units, or domains. This work explores the synthesis for copper deposit using purely data-driven unsupervised approach. To this end, da...

Copper-cobalt deposits in the Central African Copperbelt belong to Sediment-Hosted Stratiform Copper (SHSC) type and are situated Neoproterozoic Katanga Supergroup. This paper describes detail geology, geochemistry hydrometallurgy of cobalt, with a special focus on Black Ore Mineralised Zone (BOMZ) unit from Ruashi Cu-Co deposit as case study. Based results fieldwork laboratory testing, it was ...