Operational optimisation
Mine-to-mill-to-metal analytics
We help mining companies improve throughput and recovery to increase metal production and revenue. We integrate data sources from mine to mill to flotation into a single system, which enables improved characterisation of the ore being processed within the plant. This enables the utilisation of advanced machine learning and AI techniques on the data, to identify opportunities for improved fragmentation, throughput, and recovery.
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Features
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Integrate data from different site systems, including geology, mine, D&B, L&H, process plant, into a single combined model.
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Apply data science techniques on this data to identify key features and drivers behind throughput and metal recovery; from mine to mill to flotation.
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Present the outputs in a digital interface that can be used for weekly planning, by understanding drivers of past and future performance.
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Simulation capabilities enable predictions of throughput based on historical performance. E.g. enables more accurate budgeting and forecasting of milled tonnes and metal produced.
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Work with a world class data science team that specialise in mining and have experience delivering mine-to-mill solutions.
Benefits
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Increased throughput, recovery, and overall plant efficiency.
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Reduced waste sent to tailings.
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Smaller carbon footprint (e.g. lower energy consumption in mills per metal unit produced).
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Collaborative development and implementation.
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Lower implementation costs for data science projects.
What our customers say
Mario Romera
Head of IT, BI & Analytics. First Quantum Minerals Cobre Panama
Case Studies
Mine-to-mill analytics and mill optimisation
Improving milling throughput performance at a large-scale copper mine through the development of a mine-to-mill analytics solution
May 30, 2023 - Simon Zieleniewski
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We can help you find the right solutions and pricing for your business.
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