A multi-agent system for oil and gas assets
Stop managing
your asset with yesterday’s
data
An AI team analyses tasks and tests scenarios on a real asset digital twin.
The engineer makes the decision.
AI does the heavy lifting
You ask a question. Specialists examine it from different perspectives, using one shared calculation framework.
Reservoir engineering. Production. Surface facilities. Economics. Each perspective contributes to one assessment.
What happens if we increase the production rate?
One asset The full context
Reservoir, wells and surface facilities in one connected calculation model.
See the consequences Before taking action
Compare the options.
Choose an informed course of action.
- 01
Well operation
Production rate change
- 02
Network and equipment
Checking constraints
- 03
The whole asset
Comparing consequences
A coordinated option to assess
In this illustrative example, coordinating operations produces a different balance of metrics.
Check: model assumptions, constraints and costs before making a decision.
A basis for engineering decisions
What it analyses
The engineering task from reservoir, production, surface facilities and economic perspectives.
What it checks
The consequences of each option on the asset model, accounting for the network and equipment.
What the engineer receives
A comparison of options, assumptions and constraints to support a decision.
Outcomes depend on the data, model and available interventions for each asset.
Your asset A new scale of decisions
See how an AI team
examines your engineering task.