Increase Grinding Throughout by 1%
Altynalmas Gold Mine in Kazakhstan
A case study in increasing Grinding Circuit throughput and reducing mill stoppages.
Customer Challenge
Increase Throughput & Reduce Stoppages
Lack of knowledge of incoming material leads to frequent mill overloads.
Unwanted mill stoppages due to lack of insight into mill condition (liner wear) and ball charge level.
Operators struggle to determine optimum control parameters for the current mill feed.
How We Helped
Grinding Scientific-AI Optimization
Dynamic ball charge and liner wear condition enables reduced mill stoppages and increased throughput
Mill prediction of 20 mins into the future prevents overload events from occurring
Recommendation of optimum mill control variables stabilizes the feed and maximizes throughput
The Outcome
1% Increase in Throughput
1% throughput increase by maintaining productivity at the circuit and reducing the number of mill shutdowns
Reduced energy consumption and cost
Better planned and reduced levels of mill maintenance
Discover how Stockpile & Inventory 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
