Major mining operations in Australia
A case study on how AI-driven integration across Stockpiles, Flotation, and Leaching circuits is set to deliver million in performance gains.
Customer Challenge
High Variability in the Mine to Plant Process
Limited material visibility: Lack of detailed knowledge of stacked material properties compromised downstream processes, causing unpredictable plant feed and inefficient blending and recovery strategies.
High feed variability: Frequent fluctuations in mill feed quality, including high-silver ore events, increased process instability and toxicity risks.
Operational inefficiencies: These issues led to recovery losses, higher reagent consumption, and mill downtime, significantly raising operational costs.
How We Helped
Integration of AI Solutions
Deployment of the Stockpile & Inventory Optimization Solution to model stockpiles in 3D, providing a granular understanding of material properties feeding into the plant.
Implementation of Flotation Optimizer and Leaching Solutions to enable AI-driven control recommendations and proactive, actionable insights based on real-time material properties and influence tracking.
The Outcome
Increased Gold Recovery and Reagent Consumption
Gold recovery: Integration of the solutions is projected to increase overall recovery by 1.12%.
Grinding performance: Reduced variance led to a 0.08% throughput increase and lower reagent consumption — including Xanthate/Frother (in flotation) and Cyanide (in leaching).
Loss mitigation: Early detection of deleterious feed helped prevent four low to moderate poisoning events, avoiding around USD 695K in losses 2 months.
Discover how the AI Gold Recovery Solution can be applied to your operation
