Clarity and control across critical energy assets.
Oil & gas digital twins
Oil and gas operations generate massive volumes of data, from wellhead sensors and SCADA historians to integrity management systems, maintenance platforms, and subsurface models. But the data lives in silos. The CMMS tracks work orders while production accounting tracks volumes, and nobody reconciles the two until month-end.
Leaders are expected to make capital-intensive decisions on turnaround scope, pipeline integrity programs, and facility expansions, with information that's fragmented, lagging, and manually assembled. In complex regulatory environments, that gap between operational reality and decision-making visibility carries real financial and compliance risk.
A digital twin closes that gap. Not by replacing existing systems, but by connecting them into a unified, interactive model of the operation, one that teams can work in, not just look at.
Unlock deeper insights with AI-powered digital twins
How it works
A digital twin integrates with the platforms an oil and gas organization already runs: SCADA, CMMS, ERP, subsurface models, GIS, pipeline integrity tools, and inspection databases. Rather than replacing these systems, it connects and contextualizes them, creating a continuously updated spatial model of assets, conditions, and operations.
That integration is the foundation. What it enables is where the value lives.
With a digital twin, operators can:
- Model turnaround sequencing options and evaluate trade-offs between maintenance timing and production impact before locking scope or writing a work order
- Move beyond site-by-site reporting to a connected view across well pads, gathering systems, and processing facilities
- Track turnaround execution against plan in real time and coordinate across maintenance, operations, and engineering teams working on the same facility
- Bring integrity, inspection, and maintenance data into the same operational context as production schedules and asset condition
- Manage dispersed assets across hundreds of kilometers, from Cold Lake and Lloydminster heavy oil to Montney and Duvernay unconventional plays, without requiring everyone on-site
- Connect field-level operational data directly to executive reporting, so board presentations draw from the same live model engineers use daily.
Challenges solved. Results delivered.
The issue is not data scarcity but fragmented insight and limited ability to see system-wide consequences before acting. A digital twin becomes the operational layer that aligns data, spatial context, and performance logic into a single decision environment.
The result is measurable business impact:
The outcome is stronger asset performance, optimized maintenance spend, improved production continuity, and more confident strategic decisions. In asset-intensive operations, even modest gains in availability translate into significant financial value.
