Increase Grinding Throughout by 1%

Altynalmas Gold Mine in Kazakhstan

A case study in increasing Grinding Circuit throughput and reducing mill stoppages.
Grinding App Screenshots 2

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 Grinding 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 uses 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 Industrial AI Decision Intelligence Platform,

Stockpile and Inventory Optimization

Stockpile & Inventory Optimization

Grinding Optimization App

Grinding Optimization

Thickener Circuit Optimization

Thickener Optimization

Flotation Circuit

Flotation Optimization

Solvent Extraction Optimization App

Solvent Extraction (SX) Optimization

Leaching Optimization App

Leaching Optimization