UC-199
Group Reservoir Surveillance Digital Twin
AI-powered reservoir surveillance continuously monitors production and subsurface data, detects deviations from reservoir forecasts, and recommends timely interventions to maximize recovery, improve forecast accuracy, and optimize asset performance
TBDBuild Duration
TBDIndicative ROI
The Challenge
Reservoir surveillance runs differently across two portfolios, and forecast drift is found at the annual review. By then the intervention window has often closed.
How It Works
- Ingests production, pressure and injection data with reservoir models.
- ML learns expected behaviour and flags divergence per well and reservoir.
- Alerts subsurface teams with ranked intervention candidates.
What It Removes
- Drift found at the annual review
- Surveillance craft siloed by portfolio
- Intervention windows missed
Input Data RequirementsProduction/pressure/injection histories, reservoir models, well events
Output FormatLive divergence alerts, ranked intervention candidates, surveillance dashboards
“Every reservoir watched the same way - drift flagged while acting is still cheap.”