Reduce Acid Consumption by 5-8%
Major Copper Mine in Chile
A case study in reducing fines, acid consumption and improving copper recovery using IntelliSense.io Leaching Optimization.
Lack of Visibility into Ore Properties
Difficulty identifying ore properties across each of the sectors of the leaching pads
No root cause analysis for residual moisture in the final gravel of the heap leaching process.
Wanted recommendations on options to reduce the residual humidity content in the heap leach tails
How We Helped
Leaching Scientific-AI Optimization
Provide insight and alerts about the material stacked in the different modules and plots of the leaching cells.
Identify the root cause behind certain stacked materials having higher residual moisture.
Recommend an optimized irrigation strategy.
Obtain early warnings when the Chlorine concentration increases to avoid Chloride Contamination in SX-EW.
Provide fine fraction prediction in order to have the particle size before the material is stacked and before the Lab results.
5-8% Acid Reduction
27% reduction in fines
$1M in annual cost savings
5-8% acid consumption reduction
Achieved by providing Heap Leaching Tailings reclaim rate predictions based on ore properties stacked, delivering a root cause analysis of residual moisture in final gravels and reducing environmental leakage events.
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.