Dynamic Block Models
Dynamic block models re-estimate your grade model automatically as blastholes, grade-control samples and production data stream in from the mine.
Dynamic block models re-estimate your grade model automatically as blastholes, grade-control samples and production data stream in from the mine.
AI-assisted environmental impact assessment for tailings feeds radar, sensor and InSAR deformation data into continuous, GISTM-aligned compliance reporting.
Environmental impact forecasting for mines: feed dust, noise, vibration and water sensor data to Envirosuite EVS Industrial to predict impacts 72 hours out.
Brownfield exploration with AI: load a mine's drillhole and block model archive into Leapfrog, then add ML targeting to flag extensions faster.
AI flotation control feeds froth-camera video and plant sensor data into a closed-loop controller like Imubit that writes reagent, pH and airflow setpoints.
Log fracture spacing with AI: Datarock Core's neural network reads core photos and returns fracture logs validated against expert logging at Carrapateena.
AI fragmentation analysis with Orica FRAGTrack stereo cameras sizes post-blast rock automatically, with WipFrag and Split-Desktop as alternatives.
Use geochemical proxies with AI: train a model on known-deposit multi-element signatures, then run it on your data to map prospectivity, as VRIFY DORA does.
Automate geometallurgical reports with Cancha, a geometallurgy platform that combines sample selection, predictive modelling and reporting in one workflow.
Geometallurgical reconciliation with AI feeds actual mill results back into Work Index and geomet block models, as Tropicana Gold Mine does near real time.