Suncor is a global integrated energy company based in Calgary, Alberta, Canada whose operations include 20,500 critical assets across 14 sites. To capture asset data and optimize performance, Suncor employs predictive asset maintenance. Suncor’s approach, first implemented in 2017, relies on dynamic modeling to monitor assets and detect problems up to six weeks before they occur, thereby maximizing equipment availability, increasing equipment performance, and saving the company $37 million CAD.
”Since we got set up in 2017, we’ve produced $37 million of collaborative value between the sites and us.”
—Vance Seeley
Senior Analyst, APM Specialist, Suncor
Challenges
- 20,500 critical assets across 14 sites including oil sands, downstream, exploration and production, and pipelines
- Isolating the changes in KPI from normal, ambient day-to-day fluctuations to indicate degrading machine condition
Solution
Combined AVEVA™ Predictive Analytics, AVEVA™ PI Vision, and AVEVA™ Process Optimization to improve its risk analysis of turbine performance degradation and identify potential equipment problems up to six weeks before they occur.
Results
- Generated $37 Million CAD in cost savings since implementing APM (RAW) in 2017
- Optimized maintenance strategy gives Suncor control of planned downtime and improves performance of active assets
- Maximized equipment availability and company profitability
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