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...

Clustering approaches are widely used to group similar objects and facilitate problem analysis decision-making in many fields. During short-term planning of open-pit mines, clustering aims aggregate blocks based on their attributes (e.g., geochemical grades, rock types, geometallurgical parameters) while honoring various constraints: i.e., cluster shapes, size, alignment with mining direction, ...

Integrated Optimization can find optimized solutions for a project to define open pit and mine scheduling with greater reliability. This work aims demonstrate how the insertion of geometallurgical variables significantly change financial return project. Two are considered in planning simulations. Specific energy corresponds consumed comminution ore, process recovery measures percentage metal in...

The geological context of this study is established in the iron oxide-copper-gold (IOCG) deposit Sossego (Canaã dos Carajás, Brazil), where hydrothermal alterations shear zones concentrated metals interest and added new characteristics to metavolcanic-sedimentary granite rocks. mineral transformation rocks by hypersaline fluids enriched silica also modifies some metallurgical properties, such a...

The complex mineralogy and low concentration of silver in polymetallic ores makes mineralogical characterization extraction challenging. In this study, quantified the flotation products from batch tests was undertaken for a silver-rich zinc-lead ore using QEMSCAN® (Quantitative Evaluation Minerals by Scanning Electron Microscope), scanning electron microscope with an energy dispersive spectrome...