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    KEFI–BCM Tulu Kapi contract: Cat fleet design implications for mine planners

    June 27, 2026|

    Reviewed by Joe Ashwell

    KEFI–BCM Tulu Kapi contract: Cat fleet design implications for mine planners

    First reported on International Mining – News

    30 Second Briefing

    KEFI Gold and Copper has appointed BCM International as mining contractor for the Tulu Kapi Gold Project in Ethiopia, clearing the way to order a Caterpillar mobile fleet under the project’s largest operational contract. The agreement covers open-pit mining services for the planned c.140,000 oz/y operation, integrating Cat haul trucks and loaders with BCM’s existing East African support network. For mine planners and geotechnical teams, the early lock-in of a standardised Cat fleet will drive pit design, haul road geometry, equipment productivity assumptions and maintenance infrastructure layout.

    Technical Brief

    • Mining services agreement is described as the project’s largest operational contract, underpinning long-term cost structure.
    • Contract signing follows formal “launch of development”, indicating transition from financing to execution phase.
    • KEFI notes tasks “continue to be implemented on schedule”, implying mining mobilisation is aligned with overall project timetable.
    • Early contractor appointment allows detailed mine scheduling, drill-and-blast planning and equipment allocation to be done collaboratively.
    • Contract structure is expected to be key for project finance lenders, locking in major operating cost assumptions.
    • Similar African gold projects have used contractor-mining start-up before transitioning to owner-mining once cash flow stabilises.

    Our Take

    With International Mining also appearing in recent copper‑focused fleet and technology coverage (for example Boliden’s ‘green fleets’ story), KEFI’s move at Tulu Kapi positions it within a cohort of operators where fleet specification and OEM relationships are becoming central to project economics and ESG narratives.

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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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