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    OreNova AI plant tools: schedule and design implications for mine project teams

    March 9, 2026|

    Reviewed by Tom Sullivan

    OreNova AI plant tools: schedule and design implications for mine project teams

    First reported on International Mining – News

    30 Second Briefing

    OreNova Engineering in Perth is developing AI-based tools to compress the engineering schedule for new mineral processing plants, targeting faster concept-to-detailed-design workflows. By automating repetitive design tasks and drawing generation, and embedding process design rules for comminution and flotation circuits, the company aims to cut plant engineering time and reduce late-stage rework. For miners chasing shorter time-to-first-ore and quicker ramp-up to nameplate capacity, this could materially change how front-end engineering design and approvals documentation are produced.

    Technical Brief

    • OreNova’s tools target comminution and flotation layouts, auto-populating equipment lists and interconnecting piping routes.
    • Rule-based engines encode client- and OEM-specific design standards, reducing manual checking of layout compliance.
    • Generated deliverables include PFDs, P&IDs and GA drawings, directly exportable into common CAD platforms.
    • Workflow integration is being built around existing EPCM toolchains rather than standalone proprietary modelling environments.
    • Configuration options allow rapid comparison of alternative circuit topologies without rebuilding process flow models.
    • A key aim is to stabilise design “freeze” earlier, limiting late mechanical and structural redesign cycles.
    • Similar AI-assisted front-end workflows could materially compress FEL1–FEL3 schedules on multi-commodity processing projects.

    Our Take

    AI and artificial intelligence appear in over 1,600 mining pieces in our database, but relatively few are tied to engineering consultancies in hubs like Perth, suggesting OreNova Engineering is moving earlier than many peers in formalising AI-enabled design workflows.

    Western Australia features heavily in our Projects-tagged coverage for mine expansions and debottlenecking, so AI tools aimed at plant engineering there are likely to be tested first on brownfield optimisation rather than greenfield mega-projects.

    Among Product-tagged mining items, most AI offerings focus on operations (dispatch, drilling, predictive maintenance), meaning an engineering-focused AI toolset positions OreNova Engineering in a less crowded niche with closer alignment to EPCM and study-phase budgets.

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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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