Global database boosts critical minerals research: geometallurgy lens for miners
Reviewed by Tom Sullivan
First reported on Australian Mining
30 Second Briefing
A new Critical Minerals in Ores – Mineral Chemistry database (CMiO-MIN), developed under the Critical Minerals Mapping Initiative partnership led by Geoscience Australia, compiles global mineral chemistry data to map how critical elements occur within ore minerals. The resource integrates mineral-scale compositional data across multiple deposit types and jurisdictions, giving explorers and survey agencies a consistent framework to compare occurrences and refine targeting models. For geoscientists and miners, it should sharpen geometallurgical predictions, improve resource assessments and support long-term supply planning for critical minerals.
Technical Brief
- CMiO-MIN aggregates mineral-scale chemistry from multiple ore deposits into a single harmonised relational database.
- Standardised mineral and element fields allow cross-comparison of critical element deportment between different deposit types.
- Database outputs can feed directly into geometallurgical block models and process response predictions at deposit scale.
- CMiO-MIN supports government resource assessments by linking mineral chemistry to existing national geological survey datasets.
- Scope is limited to mineral-chemistry data from ores; it does not include full mine production or cost data.
- As an open, updateable platform, it provides a template for similar critical-mineral datasets across other commodities.
Our Take
For projects tagged as Research and Projects in our coverage, operators increasingly use mineral-chemistry databases at the scoping stage to de-risk metallurgy and processing-route selection, suggesting CMiO-MIN could shorten testwork cycles for new critical-mineral developments.
Because the Critical Minerals Mapping Initiative spans multiple surveys beyond Australia, the CMiO-MIN dataset should help reconcile differing national classifications of ‘critical minerals’, which has been a recurring friction point in cross-border project comparisons in our mining database.
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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