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    TESCAN TIMA data divide tool: geometallurgy implications for mine planners

    August 5, 2026|

    Reviewed by Joe Ashwell

    TESCAN TIMA data divide tool: geometallurgy implications for mine planners

    First reported on Australian Mining

    30 Second Briefing

    A new TESCAN Integrated Mineral Analyser (TIMA) at the University of Queensland’s Natural Resources Innovation and Characterisation Hub is providing high‑resolution mineralogical data on composition, grain size and texture from drill core and other mine samples. Led by Dr Pia Lois-Morales, the platform links automated mineralogy with geometallurgical and orebody models to track mineralogical variability across the life of mine. The aim is to tighten ore characterisation for mine planning, processing optimisation and tailings management by feeding consistent mineral data into decision workflows.

    Technical Brief

    • For other sites, a key implication is designing sampling and logging protocols that preserve texture-scale information for similar mineralogical platforms.

    Our Take

    The University of Queensland features heavily across our mining research coverage, with linked pieces on coarse particle processing and brownfield expansion, suggesting this new mineral data tool is likely to plug directly into a broader UQ push on productivity and recovery in existing operations rather than just greenfield discovery.

    Related work from UQ’s Sustainable Minerals Institute on brownfield-dominated capex (366 sites in 58 countries) implies that any Queensland-based characterisation platform that shortens assay or interpretation cycles could have outsized impact on copper, gold and other established commodity hubs where incremental upgrades are being prioritised over new builds.

    With Queensland simultaneously courting US interest in its copper, zinc and cobalt potential, a locally hosted mineral characterisation capability at UQ or its hubs would strengthen the state’s pitch by demonstrating that not only resources but also analytical infrastructure for critical minerals are already in place.

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    Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.

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