Concentrate Handling, Smelting & Refining
AI in concentrate handling, from on-stream XRF and XRD analyzers that feed real-time process control to AIS-based tracking of concentrate shipments at sea.
AI in concentrate handling, from on-stream XRF and XRD analyzers that feed real-time process control to AIS-based tracking of concentrate shipments at sea.
AI for crushing and grinding: ore texture analysis, closed-loop crusher and mill control, and real-time geometallurgy that adapts the circuit to the ore.
AI for drilling and blasting: autonomous rigs, blast-hole logging, fragmentation analysis, shovel grade sensing, plus water and slope monitoring in the pit.
AI for mineral exploration: automated mineralogy, core scanning, geochemistry, geophysical targeting and ML models for rock properties and permitting.
AI in flotation, from closed-loop reinforcement learning and froth cameras to soft sensors, ore blending, mill surveys and acid rock drainage prediction.
AI for geological modelling and resource estimation: implicit modelling, clustering-based domaining, geomet domains and ML predictions in the block model.
AI for geometallurgy: hyperspectral clay models, alteration proxies, recovery and hardness prediction, proxy models and dynamic block models explained.
AI for grade control and geotechnical work: calibrated sensors, automated sampling, blasthole logging, slope design, wall monitoring and automated reports.
AI for mining marketing, from satellite-based supply and demand forecasts to flow tracking and reconciling what the mine sells with what models predicted.
AI for mine planning and blast design: block models, evolutionary long-term scheduling, blast pattern optimization, sequencing and production forecasting.