Geomechanics.io

  • Free Tools
Sign UpLog In

Geomechanics.io

Geomechanics, Streamlined.

© 2026 Geomechanics.io. All rights reserved.

Geomechanics.io

CMRR-ioGEODB-ioHYDROGEO-ioQCDB-ioFree Tools & CalculatorsBlogLatest Industry News

Industries

MiningConstructionTunnelling

Company

Terms of UsePrivacy PolicyLinkedIn
    AllGeotechnicalMiningInfrastructureMaterialsHazardsEnvironmentalSoftwarePolicy
    Projects
    Product

    Barro Alto mine digital integration: slope design and risk lessons for engineers

    January 20, 2026|

    Reviewed by Joe Ashwell

    Barro Alto mine digital integration: slope design and risk lessons for engineers

    First reported on International Mining – News

    30 Second Briefing

    Digital integration of geotechnical data at Anglo American’s Barro Alto nickel mine in Brazil is using Seequent’s Central and Leapfrog Geo platforms to create a single, live subsurface model for risk management. Drillhole, mapping, monitoring and laboratory data are being federated into a cloud-based environment, enabling near real-time updates to pit slope designs and geotechnical domains. The approach is cutting manual data handling, improving traceability of design decisions and giving geotechnical engineers faster decision cycles for slope stability and mine planning.

    Technical Brief

    • Integration is being rolled out at Anglo American’s Barro Alto Nickel Unit in Goiás, central Brazil.
    • The same Anglo American business in Brazil also operates iron ore assets alongside the Barro Alto nickel operation.

    Our Take

    Nickel items in our database increasingly intersect with AI and ‘artificial intelligence’ keywords, signalling that operations like Anglo American’s Barro Alto mine in Brazil are becoming test beds for data-driven optimisation rather than just conventional brownfield upgrades.

    Among the 682 Mining stories, Brazil appears frequently in iron ore coverage but far less often in digitally focused product and project pieces, so this Barro Alto deployment suggests Anglo American is pushing Brazilian assets up the group’s technology curve rather than concentrating advanced integration only in flagship operations elsewhere.

    Seequent’s presence alongside Anglo American in this Brazil nickel context aligns with a cluster of other product-tagged pieces where subsurface modelling tools are being tied directly into operational decision systems, implying that geoscience platforms are moving from standalone design tools into live mine-control environments.

    Geotechnical Software for Modern Teams

    Centralise site data, logs, and lab results with GEODB-io, CMRR-io, and HYDROGEO-io.

    No credit card required.

    • Save and export unlimited calculations
    • Advanced data visualisation
    • Generate professional PDF reports
    • Cloud storage for all your projects

    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.

    Related Articles

    Mining
    about 4 hours ago

    Fluor and WSP on USA Rare Earth’s Round Top: design and risk notes for mine teams

    USA Rare Earth Inc has appointed Fluor Corp and WSP Global Inc as EPCM partners to advance the definitive feasibility study for its Round Top rare earth project in Texas, targeting heavy rare earths and critical magnet materials. The mandate covers process plant, mine infrastructure and associated large-scale infrastructure delivery, drawing on Fluor’s mining and processing design capability and WSP’s experience in complex project execution. For geotechnical and civil teams, early EPCM involvement signals imminent definition of pit design, waste storage, haul roads and water management concepts ahead of permitting and financing.

    Mining
    about 5 hours ago

    CIMIC–Hindustan Zinc tailings recycling project: design notes for mine engineers

    CIMIC Group subsidiaries Sedgman and Leighton Asia have secured separate contracts from Hindustan Zinc Limited to help deliver India’s first zinc tailings recycling facility at the Rampura Agucha Mine in Rajasthan. Sedgman will focus on process plant and tailings treatment infrastructure, while Leighton Asia will provide project delivery and construction services for the brownfield site. The project signals large-scale reprocessing of legacy zinc tailings at one of the world’s largest zinc operations, with implications for paste backfill design, tailings storage stability and metal recovery circuits.

    Argent high-grade silver and peers: exploration takeaways for mine planners
    Mining
    about 13 hours ago

    Argent high-grade silver and peers: exploration takeaways for mine planners

    Exploration activity across Australia this week includes Argent Minerals reporting high-grade silver intercepts at its Kempfield project in New South Wales, with mineralisation extending along strike from existing volcanogenic massive sulphide-style resources. Kalamazoo Resources advanced drilling at its gold targets in the Pilbara and Central Victorian Goldfields, focusing on structurally controlled lodes near historic workings and testing down-dip extensions below old stopes. Adelong Gold continued resource-definition work at the Adelong project in NSW, targeting shear-hosted quartz veins to upgrade JORC classifications and refine pit and underground designs.

    Related Industries & Products

    Mining

    Geotechnical software solutions for mining operations including CMRR analysis, hydrogeological testing, and data management.

    CMRR-io

    Streamline coal mine roof stability assessments with our cloud-based CMRR software featuring automated calculations, multi-scenario analysis, and collaborative workflows.

    HYDROGEO-io

    Comprehensive hydrogeological testing platform for managing, analysing, and reporting on packer tests, lugeon values, and hydraulic conductivity assessments.

    GEODB-io

    Centralised geotechnical data management solution for storing, accessing, and analysing all your site investigation and material testing data.