Private AI for petroleum engineers.

Make operating data useful for planning

Forecast demand, detect equipment deviations and compare operating scenarios using validated analytical tools.

Inputs: Approved generation or consumption histories, asset telemetry and maintenance schedules.

From observation to completed task

Prepare scheduling recommendations and maintenance priorities for the operator.

Organise authorised engineering-review questions

The supporting records include approved reports, project requirements and review notes.

Engineers validate calculations and technical recommendations.

The systems involved

Historian access, metering quality checks and approved optimisation constraints.

SOS AI configures the local models and tool permissions for this workflow. Actions in business software follow the authority you approve; uncertain cases and actions outside those limits go to the responsible person.

What a useful result must get right

Operators retain dispatch authority; backtest forecasts and verify operating constraints.