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      Mining operations are inherently complex, asset-intensive, geographically dispersed, and often located in remote or high-risk environments. Leaders must make critical decisions across production, maintenance, safety, and project development, often with data that is fragmented, delayed, or difficult to act on.

      A digital twin brings these elements together. By integrating engineering data, operational systems, and geospatial context into a single, interactive 3D environment, it gives teams a spatial working model of the operation that they can use to compare plans against reality, test scenarios, and make faster, more confident decisions.

      Digital twins apply across surface and underground operations, from open pit mines to processing facilities and tailings management. This includes operations in remote or permitting-intensive jurisdictions where coordinating across distance, stakeholders, and regulatory requirements adds complexity at every stage.

      This enables mining organizations to improve safety, increase reliability, and strengthen operational and capital decision-making, whether optimizing daily production or advancing major projects through development and approvals.

      Kevin Oke

      Director of Digital Twin and Spatial Computing

      KPMG Canada

      Unlock deeper insights with AI-powered digital twins

      How it works

      A digital twin creates a unified spatial digital layer across mine sites, continuously synchronizing data from operational systems, maintenance platforms, engineering models, and field inputs.

      With this foundation, mining organizations can:

      • Compare planned versus actual production, material movement, and project timelines in real time
      • Test operational scenarios, such as haul route changes, shutdown sequencing, or schedule adjustments, before committing
      • Detect emerging risks and performance deviations earlier to reduce unplanned downtime
      • Move seamlessly from site-wide oversight to equipment-level detail without switching systems
      • Coordinate decision-making across operations, engineering, maintenance, and project teams
      • Support remote operations by providing centralized visibility across dispersed and hard-to-access sites

      The digital twin integrates with existing systems such as fleet management, dispatch, geological models, GIS, process control, and maintenance platforms, bringing them together into a single, contextualized view. Rather than replacing these systems, it connects and contextualizes them, transforming fragmented inputs into a coherent operational picture.

      By combining real-time data with a spatial context that dashboards and spreadsheets cannot provide, organizations can tighten the loop between planning and recovery, reduce reconciliation lags, and sustain more consistent performance across the mine.


      Challenges solved. Results delivered.

      Mining organizations generate vast amounts of data, but insight often lags behind reality. Information fragmented across systems, departments, and formats must be manually reconciled before decisions can be made, and by the time it is, the window to act has often closed.

      A digital twin closes this gap by aligning operational, technical, and project data in a continuously updated decision environment. This drives measurable outcomes:

      • Tighter plan-to-recovery reconciliation

        Track deviations between planned and actual production, material movement, and processing performance continuously rather than quarterly.

      • Improved reliability

        Correlate maintenance data, operating conditions, and equipment history in context to identify degradation patterns before they affect availability.

      • Increased productivity

        Surface inefficiencies in haul cycles, material handling, and process flows that are invisible when data lives in separate systems.

      • Stronger execution visibility

        Strengthen oversight of scope, schedule, and operational risk across production and capital projects.

      • Stakeholder and community alignment

        Communicate complex operations and project plans to regulators, Indigenous Nations, communities, and partners with a clear, evidence-based view.

      • Traceable financial impact

        Connect improvements in uptime, throughput, and cost control directly to business performance and return on investment.


      The outcome is a more resilient and efficient network, supported by clearer insight, reduced operational risk, and stronger justification for both operational and capital investment decisions.



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