Increase Metal Recovery by 3%
Major Copper Mine in Chile
Achieve a stable Flotation circuit by maximizing recovery per cell using IntelliSense.io Flotation Optimization
Customer Challenge
Low Visibility on Control Variables within Circuit
Operators often don’t know how each of their flotation cells/columns are performing & contributing to the overall recoveries.
Simulate different operative scenarios for optimum conditions and recommendations.
How We Helped
Real-time Virtual Sensors per Column Cell
Rapid implementation of a digital twin process for the Flotation circuit (comprising 100 cells) and involving the training of pre-built machine learning models.
Real-time Virtual Sensors of mass pulls, metal recovery, and concentrate & tails grades – per section and per cell.
The AI Optimizer’s ‘Value Driver’ was configured based on the client’s chosen ranges.
The Outcome
Metal Recovery Gains set to be >$30M
Successfully implemented virtual sensors for 100 cells’ Flotation circuit
Up to 3% increase in recovery for column cells at on-spec grade through the combination of Virtual Sensors & flotation physics, including CFD models, to operate within the ideal Zhang Flow Regime Map.
Discover how Thickener Optimization can be applied to your operation
Mine to Market: Value Chain Optimization
The Stockpile & Inventory Optimization Application is one of a suite of real-time decision-making applications that use Scientific AI to optimize each process; from mine to market.
Our Material Handling model connects these applications to drive even greater efficiency.
Our process optimization apps can be deployed on a specific process bottleneck or expanded across the entire value chain.
They are powered by our Scientific AI Decision Intelligence Platform, brains.app.
Stockpile & Inventory Optimization
Grinding Optimization
Thickener Optimization
Flotation Optimization
Solvent Extraction (SX) Optimization
