Simba E60 S in an underground mine, left rear view, low angle

Stope Optimization

Achieve the full potential of your operations through measurable, continuous improvements throughout the stope cycle

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Where precision meets productivity

With Deep Automation for drilling, stope optimization becomes a data-driven process that connects mine planning and geology directly to production drilling execution on Simba and Easer machines – with a clear pathway toward teleremote operation and higher levels of automation.


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Flow instead of friction

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A workflow, not a machine

Geological models, stope boundaries, and production requirements are translated into executable drill plans that enable standardized, repeatable production drilling. Feedback from drilling accuracy, blasting results, and actual stope conditions is captured and fed back into the optimization process, continuously improving accuracy, safety, and productivity.

Closing the loop between plan and production

This closed‑loop workflow:

  • Strengthens alignment between planning and daily production
  • Improves control of dilution and fragmentation
  • Creates stable, predictable conditions for teleremote and automated drilling

In short, stope optimization connects the plan to the stope through data‑driven, end‑to‑end control of the production drilling process.

The challenge facing today’s underground mines

Underground mines are under increasing pressure to deliver higher productivity and safety with tighter margins and more complex orebodies. Despite investments in modern equipment, many operations still struggle with:

  • Variability across the stoping cycle
  • Fragmented data between planning and execution
  • Manual handovers based on individual experience

The result is rework, delays, increased risk, and limited understanding of quality deviations.

Automation raises new requirements

As teleremote operation and higher levels of automation are introduced, requirements on data quality, transparency, and system integration increase. When operators are no longer physically present at the face, missing or incorrect information is amplified rather than absorbed. Improving isolated machines or individual steps is no longer enough.

Stope optimization lives in the workflow

Stope optimization is not a product or a single machine. It lives in a connected system where data, decisions, and execution flow seamlessly across the stoping cycle.

The foundation is shared, transparent data across:

  • Planning
  • Drilling
  • Bolting
  • Charging and blasting

Digital applications such as Fleet+, Drill Tracker, and MineRP make production and quality data visible and actionable beyond individual machines. Each step contributes information that the next step can trust and use.

Preventing mistakes through connectivity

This connectivity improves reliability and reduces risk. Bolt logs generated during bolting are transferred downstream so opening holes and blast holes are drilled with full awareness of existing support. Each operation:

  • Executes based on verified inputs
  • Documents results for the next step
  • Builds traceability and confidence in automated environments

The result: flow instead of friction

A connected workflow delivers:

  • Fewer unplanned stops
  • Less rework
  • Reduced exposure in the stope
  • More predictable blasting outcomes
  • Shorter time from planning to completed stope


Takeaway

Stope optimization is about connecting machines, data, automation, and people into one continuous workflow - where every step builds on the previous one, and every decision is based on shared, trusted information.


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