Maximize Net Metal Production

A case study on how integrating multiple circuits with AI — including Stockpiles, Flotation, and Leaching — to improve metal recovery

3D block model dynamics enabled $200K in savings by identifying contaminants early in crushed stockpiles through real-time alerts.

3D block models of stockpiles facilitated a selective mining strategy to increase gold recovery

Prevent high-torque stoppage events in Thickener’s process to save $1.8M and 22.000m3 of water

Improvements in the accuracy of mineralogical and geometallurgical information enabled better plant setup ($1,4M)

Improving process control in Tails Leach Tanks with 18 new virtual sensors and optimization recommendations

Achieve a stable Flotation circuit by maximizing recovery per cell

Using Stockpile to map dump and load deviation events, ensuring 20,000 tonnes of ore was not lost

Using Data quality dashboard, team was able to detect 100,000 tonnes of waste dumped in the wrong location

A case study in reducing fines, acid consumption and improving copper recovery

A case study in increasing Grinding Circuit throughput and reducing mill stoppages

Stabilize Thickener’s process to increase underflow % of solids while reducing flocculant by 16% & rake torque by 18%

3D-modeled stockpiles are subdivided into quality polygons, enabling improved material blending and reducing contaminants in plant feed.

A case study in improving solvent extraction circuit stability to increase copper mass transfer by 3%