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    TOMRA Mining waste sorting: design and value notes for mine project teams

    February 10, 2026|

    Reviewed by Tom Sullivan

    TOMRA Mining waste sorting: design and value notes for mine project teams

    First reported on International Mining – News

    30 Second Briefing

    TOMRA Mining is deploying advanced sensor-based ore sorting to convert mine waste rock and tailings into saleable aggregate for infrastructure, extending mine life and reducing primary crushing and haulage demands. By separating barren from mineralised material on conveyors using XRT and other sensors, operations can upgrade run-of-mine feed, cut energy and water use in downstream comminution, and divert clean fractions for construction uses. The approach opens a secondary revenue stream while lowering waste dump volumes and long-term rehabilitation liabilities.

    Technical Brief

    • Sensor-based sorting reduces downstream milling of barren material, lowering liner wear rates and associated maintenance shutdowns.
    • Dry sorting circuits reduce reliance on process water, particularly valuable for mines in arid or water-stressed regions.

    Our Take

    TOMRA Mining appears in our sustainability-tagged mining coverage mainly as a technology supplier rather than an asset owner, signalling that its business model is to influence project footprints across multiple operators instead of concentrating risk in a single mine or region.

    Within the 1861 tag-matched pieces on Projects, Sustainability and Product, TOMRA-type ore-sorting and waste-repurposing solutions are one of the few product categories that directly link plant design choices to downstream infrastructure materials, which can strengthen ESG narratives for project approvals.

    Because TOMRA Mining is not tied to a specific commodity or country in this item, its waste-to-infrastructure positioning is likely aimed at brownfield operations globally, where retrofitting sorting technology can unlock value from legacy waste dumps without the permitting burden of new pits.

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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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