mineral resource modelling
If you thought mining was all about brute force and big rigs, think again.
If you think spotting a rare earth deposit is tough, try identifying one when it looks exactly like barren dirt.
In the remote Altai Mountains of eastern Kazakhstan, a centuries-old underground mine is undergoing a transformation.
What if resource estimation wasn’t just updated, but completely reimagined? At the AusIMM 2025 Mineral Resource Estimation Conference in Perth, two respected voices in the field—Jacqui Coombes and Paul Hodkiewicz—stepped away from PowerPoint slides and into a candid, thought-provoking dialogue that challenged the mining industry to rethink its most foundational assumptions.
At the AusIMM 2025 Mineral Resource Estimation Conference, Dr Oscar Rondon, principal geostatistician at Datamine, tackled a question that has dogged mining professionals for decades: Is estimating recoverable resources still hopeless?
The talk revisited a decades-old challenge in resource estimation, combining Rondon’s clear communication with Assibey-Bonsu’s extensive experience in the mining industry.
“You’re so vein, I’m so vein, we’re all so vein,” quipped Dale Sims as he opened his presentation at the AusIMM Mineral Resource Estimation Conference ‘MREC 2025’ in Perth.
At the 2025 AusIMM Mineral Resource Estimation Conference in Perth, geologist Jordan McDivitt delivered a sharp, technically grounded presentation on how machine learning and structural geology can work hand in hand to model complexity in orogenic gold systems.
In a rousing keynote at AusIMM’s 2025 Mineral Resource Estimation Conference, Dr Clayton Deutsch—director and professor at the School of Mining Engineering, University of Alberta—challenged the audience to confront a fundamental flaw in how mineral resource estimators approach their craft.
