• 402-15400 Croydon Drive Surrey, BC, V3Z 1K1, Canada

South American Open-Pit Mine

How a Leading South American Mine Leveraged Cascadia Scientific for Operational and Environmental ROI

Maximizing Efficiency & Fuel Savings in Mine Haulage
Cascadia Scientific

Cascadia Scientific deployed its SmartRView platform across the mine’s haul fleet, enabling

  • Real-time fuel consumption tracking by road segment
  • Machine learning-based modeling to normalize haul cycle variables
  • Before-and-after intervention analysis (road regrades, ramp cleanings, etc.)

Executive Summary

Facing steep fuel costs, inconsistent road conditions, and growing sustainability targets, a major open-pit mining operation in South America partnered with Cascadia Scientific to optimize haul road efficiency using real-time fuel analytics and machine learning.

  • 113,257 gallons of diesel saved
  • $380,544 USD in fuel cost savings
  • Multiple road interventions quantified and validated using ML-based normalization models

The Challenge:

Fuel consumption is one of the highest operational costs in open-pit mining. For this mine, even small inefficiencies in haul road design or degradation resulted in significant excess fuel burn and operational costs. Key challenges included:

Haul Road Impact on Fuel

Limited insights into road conditions make it hard to spot fuel efficiency issues, driving up costs and reducing performance.

No Ability to Audit

Changes to improve fuel use often aren’t systematically measured, making it unclear which interventions actually work.

Highly Variable Operation

Terrain, slope, and operator habits cause major fuel use fluctuations, complicating consistent performance management.

Need for Reliable Data

Strict regulations demand accurate emissions reporting; poor data can hurt compliance and damage company credibility.

The Cascadia Scientific Solution

Cascadia Scientific deployed its SmartRView platform across the mine’s haul fleet, enabling:

  • Real-time fuel consumption tracking by road segment
  • Machine learning-based modeling to normalize haul cycle variables
  • Before-and-after intervention analysis (road regrades, ramp cleanings, etc.)

This solution helped quantify whether roadwork delivered measurable benefits in fuel savings, speed, and slope reduction.

Highlight Interventions:

  • Rampa 25: -1.85 gal/transit savings after regrade
  • Rampa 32: -0.12 gal/transit post-adjustment
  • Rampa 09: -0.04 gal/transit improvement

Cascadia Scientific’s ML models removed bias due to slope, distance, and environmental conditions to isolate true fuel impact.

Learn of our Solutions
We hired Cascadia Scientific because we trust you. We don’t want anyone coming in to tell us how much fuel we consume because we already know it through Cascadia.
Mine Operations Team

Operational Impact

Haul Road Optimization
  • Interventions reduced slope, cycle time, and fuel per pass
  • Validated impact using high-resolution vibration and consumption data
  • Enabled the operations team to prioritize high-ROI segments
Process Improvement
  • Interventions now tracked and reported monthly
  • Data used to justify regrading and improve road design
  • Benefits now modeled to last ~3 months per intervention
Customer Collaboration
  • Mine actively performs interventions and leverages reports
  • Monthly savings reports influence operational planning
  • Team alignment across purchasing, planning, and operations
Environmental Impact
  • Cascadia’s modeling allows the mine to calculate CO₂e savings with confidence
  • Supports annual emissions reduction reporting for ESG compliance
  • Estimated CO₂e savings proportional to diesel reductions, aligned with Scope 1 targets
We show them the before-and-after maps and fuel data, and they’re now using that insight to schedule and justify roadwork. It’s a true feedback loop.
Customer Support Team

A Scalable Model for Long-Term ROI

Originally launched as a 2022 pilot, the mine has continued usage through 2023 and beyond. The SmartRView deployment remains fully active on all Haul Trucks. Ongoing work includes: Integration of ML Terrain and Operator Coach, flagging rough roads; and improving driver habits to boost efficiency.

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Results that Pay for Themselves

Cascadia’s precision fuel analytics replaced guesswork with provable ROI. A $400K/year investment delivered nearly that in fuel savings in just three months — with more gains ahead.

Still guessing where fuel is wasted or which fixes to fund? Cascadia gives you clear answers with real-time insights, ML benchmarking, and proven results.

Get in Touch

At Cascadia Scientific, we share an enthusiastic optimism for the potential of machine intelligence to revolutionize mining.

Contact Info

Email Us

info@www.cascadiascientific.com

Our Headquarters

402-15400 Croydon Drive
Surrey, BC, V3Z 1K1, Canada

Contact Us

+1 (778) 806-1303

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