Identify 100k Tonnes of Waste in the RoM
Major Copper Mine in Chile
A case study on how a 3D block model of stockpiles helped identify accidental dumping errors on ore-grade stockpiles
Customer Challenge
Management of Material Handling
How to ensure material movement (both waste and ore) was going to the right place during road widening construction and mine infrastructure projects.
How We Helped
3D Block Model of Stockpiles
3D block modeling was used to recognize waste dumped on a stockpile.
Alerts were created to highlight the dumps that were out of range tonnage.
The Outcome
Identified >100,000t of Waste Dumped on Ore Stockpiles
Unnecessary processing costs were avoided by identifying over 100,000 tonnes of waste and preventing it from being sent to the processing plant.
Boundaries were updated to keep waste material out of stockpiles.
Accurate tracking of material feed to the plant was initiated avoiding negative end-product blend issues.
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
