Oil & gas digital twins

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.

• 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.

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.