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    Barton Gold’s Tunkillia assays: starter pit design and grade insights for engineers

    October 8, 2026|

    Reviewed by Joe Ashwell

    Barton Gold’s Tunkillia assays: starter pit design and grade insights for engineers

    First reported on Australian Mining

    30 Second Briefing

    Barton Gold has completed assays for its Tunkillia resource‑upgrade campaign in South Australia, returning broad, high‑grade gold intersections within the proposed starter pits. Final results include 53m at 2.51g/t Au from 60m in hole TKB0745, with higher‑grade zones of 2m at 18.25g/t from 72m and 1m at 26.3g/t, plus several similarly mineralised intervals. The data support potential early pit designs focused on thicker, near‑surface mineralisation, improving options for initial strip ratios and mill feed grade scheduling.

    Technical Brief

    • Assay phase for Tunkillia’s current resource‑upgrade drilling is now fully complete, enabling updated block modelling.
    • Final batch of results all sit within the footprint of planned starter open pits.
    • Concentration of high‑grade hits in these zones tightens confidence for early mine scheduling assumptions.
    • Data density in the starter‑pit area should allow refinement of geometallurgical domains and recovery assumptions.
    • Near‑surface thickness continuity supports optimisation of bench heights, drill‑and‑blast patterns and haul profiles.
    • Updated resource model will directly inform cut‑off grade selection for first‑phase pit shells.
    • Results de‑risk early cashflow scenarios by constraining variability in grade distribution within initial mining panels.

    Our Take

    With a pre-feasibility study for Tunkillia already under way led by GR Engineering Services (reported June 2026), these new South Australian intersections are likely to be fed directly into pit shell optimisation and reserve conversion, potentially allowing Barton Gold to tighten cut-off assumptions rather than chase additional satellite ounces in the near term.

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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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