Jamie Wade
In an era where emerging technologies promise to transform mining operations, from AI-driven optimisation to fully automated systems, the real challenge is not finding the next breakthrough.
Dr Sandra Occhipinti, research director in minerals at Australia’s national science agency, CSIRO, is leading a team of more than 100 scientists focused on one of the most complex challenges in modern exploration: how to accelerate mineral discovery in covered terrains while simultaneously improving geometallurgical insight across the mining value chain.
At the sharp end of metallurgical decision-making, where feasibility meets financial risk, one recurring theme echoes loudest: if you don’t know your orebody, you don’t know your project.
The mining industry’s next leap won’t be powered by bigger trucks or more data, but by intelligent systems built to adapt, anticipate and thrive in uncertainty.
In a world-first approach that sounds more like science fiction than geoscience, Ideon Technologies is leading a charge to reduce geological guesswork in mineral exploration using cosmic rays generated by exploding stars.
GV Price, senior staff consultant with KCB Australia, has spent a career helping mines grapple with the nuances of geotechnical standards.
Pepe Moreno, principal consultant and director of Tailex, isn’t one to blindly follow the crowd.
In a mining landscape increasingly defined by lower ore grades, ESG scrutiny, and complex feedstocks, recovery performance has never been more critical.
As mineral exploration enters an era defined by data complexity and digital transformation, one of the biggest hurdles geoscientists face is not a lack of information, but too much of it.
In an industry awash with plug-and-play software and AI buzzwords, Oliver “Olly” Willetts, senior geologist and resource estimation consultant at SRK Consulting, stands out for his clear-eyed, problem-first approach to geoscientific data management.
