Client: Gold — Copper Mine, Chile
The project objective for IntelliSense.io was to model and optimize the thickener circuit in real time, identify the root cause of variability and continuously predict set-point recommendations for optimal predictive process control.
The existing thickener circuit Expert System didn’t enable continuous set point changes based on the type of materials entering the thickener — resulting in an inability of the operations team to take pre-emptive action to minimize variance at the circuit, with action being taken only after the event. This resulted in a low underflow % solids and water recovery, and high flocculant consumption.
The IntelliSense.io Thickener Circuit Optimisation application was implemented at the mine. The project integrated data from SCADA & other control systems (including upstream data) with advanced statistical data modelling, machine learning algorithms and first principle models to derive a digital model of the thickener circuit that can predict and simulate future performance of the circuit under various feed conditions and deliver continuous optimized control recommendations that result in;
- Delivery of predicted material composition and mineralogy input to the thickener circuit.
- Stable underflow % solid.
- Online thickener circuit simulator.
Decreased variability in the thickener circuit operation.
Enhanced water recovery at the thickener circuit
Reduced equipment downtime due to stricter torque constraints.
Next-generation virtual sensors which replace crucial missing instrumentation.
Increased operational staff availability by reducing the time to collect previously siloed data.
Increased internal operator training through the brains.vos simulator.
Payback period shorter than 12 months with projected direct savings calculated at $400k in the first year alone.
Fig 2: Screenshot of the Thickener application performance Solution Panel.
Mine to Market: Value Chain Optimization
Powered and connected together by the brains.app platform, the Thickener Optimization Application is one of a suite of real-time decision-making applications that uses Artificial Intelligence (AI) to optimize each process; from mine-to-market.
Our Material flow model connects these applications together to drive even greater efficiency gains.