MTG Webinar Series - Optimisation & Performance
Join us for the next webinar in the MTG webinar series, where the focus will be on Operating Mines: Optimisation & Performance.
You will hear from
Noel Glaenzer
In this talk, Noel takes you behind the scenes of the First Quantum Minerals (FQM) asset management function, focusing on the trenches of condition monitoring.
Don't expect another sales pitch for AI—just a brutally honest, "I really wish someone had told me this back then" survival guide. We’ll look at where our lean team started, the exact tools, methods, and training we implemented to stop the bleeding, and how we slowly but surely leveled up our condition monitoring game.
Finally, we’ll dive into how we actually paved the way for machine learning by building practical data products instead of corporate buzzwords. If you’ve ever wondered how to crawl out of the daily firefighting pit and build an AI-driven asset health ecosystem—come grab a seat.
Condition Monitoring: From AI to AI
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Asset management function at FQM
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Lean, ~10-person group
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Area of expertise
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Condition Monitoring improvement
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Starting point
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What goods look like / Reference
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Statistical Review
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Tool need
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Paving the way for ML/AI
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Data products
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Machine learning initiative
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Joshua Johnson Int. P.E.
Underground Hard Rock Mine Optimization
- Drawing on hands-on experience across underground hard rock operations, Joshua will share practical lessons on mine optimisation, focusing on how smarter development design and production blast design translate into real productivity gains.
- Using real-world examples, he will cover reducing overbreak to cut muck haulage and protect ore grade, optimising development layouts to support haulage and future drilling, and refining blast patterns to control vibration and improve fragmentation.
