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    Seequent Leapfrog update: subsurface modelling and resource impacts for mine planners

    May 8, 2026|

    Reviewed by Joe Ashwell

    Seequent Leapfrog update: subsurface modelling and resource impacts for mine planners

    First reported on International Mining – News

    30 Second Briefing

    Seequent has released a major Leapfrog update for mining, adding new workflows for drill hole planning, stratigraphic modelling and data preparation aimed at faster, more consistent resource estimation. The upgrade deepens subsurface modelling by improving handling of complex stratigraphy and drillhole datasets, enabling geologists to iterate models more quickly and reduce manual rework. For mine planning teams, tighter integration of geological models with estimation inputs should sharpen pit optimisation, cut-off decisions and early-stage project evaluation.

    Technical Brief

    • Leapfrog’s update introduces a dedicated drill hole planning environment integrated directly with existing geological models.
    • New stratigraphic tools target complex, folded and faulted sequences rather than simple sub-horizontal layering.
    • Data preparation enhancements focus on cleaning, validating and compositing drillhole datasets before resource estimation workflows.
    • Workflows are designed to support continuous model refinement from early exploration through to advanced project stages.

    Our Take

    In our Software category, Seequent and The Bentley Subsurface Company appear in several recent pieces, signalling that subsurface data integration tools like Leapfrog, Central and OpenGround are becoming a de facto stack across both mining and civil workflows rather than point solutions.

    Seequent’s own Geoprofessionals Data Management Report, also covered in our database, found specialists spending a large share of time on data wrangling, so any added ‘depth’ in Leapfrog that reduces manual model rebuilding is likely to translate directly into reclaimed engineering hours on complex projects.

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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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