Background
Evolution Well Services (EVO) is an oilfield services company that runs the industry's only all-electric pressure pumping fleets: turbine-powered spreads that complete thousands of wells per year across the Permian and Appalachian basins. A single fleet rolls out 32 megawatts of mobile power from one pad to the next in about 14 hours, then sustains job designs that demand up to 140 bpm flow rates at 12,000 psi.
Every fleet runs on hundreds of assets (turbines, generators, switchgear, pumps, blenders, sand systems, the data van), and each asset carries thousands of tags. Keeping that hardware safe, available, and efficient is the business.
"We are champions of digital culture. In 2019 people had no idea what we were talking about when we talked about that. Today it's ingrained across the company."
- Nick Brady, Digital Operations Supervisor
The vehicle for that shift, from day one, has been the Canary System.
Challenge
In 2019, before Canary was deployed at scale, the foundation of Evolution's operation was a patchwork:
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Maintenance intervals tracked in spreadsheets on flash drives that, as Brady puts it, "grew legs, fell in a puddle, or went home with somebody for two weeks at a time."
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No standardization across data vans. Every fleet's screens looked different, so a crew moving between locations had to relearn the room.
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Almost no remote visibility. Real-time data lived on the pad it came from.
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Limited ability to troubleshoot or identify root causes of equipment excursions and failures.
The consequences were the kind that show up directly on a P&L: missed maintenance intervals, costly equipment failures, and excessive non-productive time. For EVO's customers, that meant slipped timelines and budgets. For EVO's reputation, operational risk in an industry where reputation drives the next contract.
Solution: A Five Year Build
"Canary has allowed us to inject data-driven decisions at all levels of our business. It's very flexible. In some regards I feel like we're still just getting started."
- Nick Brady, Digital Operations Supervisor
Featured Initiatives
Three specific initiatives built on Canary. Each one mapped directly to dollars, safety, and the customer experience.
Root-cause analysis on the worst performing fleet
Enterprise-wide alarm analytics, finally visible
A DMZ historian for live customer data, without exposing the corporate network
Results
Five years on from the first local deployment, the picture has flipped from where Evolution started:
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A digital culture, top to bottom. Operators are now building reports in Axiom and sending them up to executives. The same platform serves sand-belt-level operators and C-suite reviews.
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Real-time visibility across 14 fleets. Over 250,000 tags flow into the corporate historian and are viewed by 200+ users.
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Measurable equipment-life gains. 63% longer fluid end life on the optimized fleet, with downtime, replacement cost, and personnel risk all dropping with it.
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Smarter maintenance. Real-time consumables tracking, down to the barrel and the stroke of a pump, has replaced the lost-flash-drive era of maintenance logs.
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Externalized real-time data. Customers get the operational visibility they ask for, without exposing the corporate network.
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A foundation for predictive analytics. The MQTT Connector pipes Canary data into Databricks for prescriptive maintenance models, usage forecasts, and equipment-health projections.
"Its versatility makes data approachable for real-time operational users as well as engineers and data analysts performing high-level studies. Canary is integral to EVO's ongoing digital strategy."
- Nick Brady, Digital Operations Supervisor