From Data to Decisions: How AI Is Transforming Production Optimization
Production teams are being asked to do more with less—managing larger well portfolios, responding to more alarms, and making faster decisions without additional headcount. While SCADA systems generate vast amounts of data, turning that data into timely action remains a challenge.
Traditional optimization workflows often rely on manual surveillance, reactive troubleshooting, and static setpoints that struggle to keep pace with changing field conditions. As operational complexity grows, many producers are turning to AI-powered optimization to help scale operations more effectively.
In Ambyint’s recent webinar, Applying AI to Production Optimization, Kevin Anstrom, Solutions Engineering Manager, and Sid Rothlisberger, Senior Solutions Manager, explore how AI is helping operators move beyond reactive monitoring toward continuous, scalable optimization.
The webinar covers:
- How AI supports continuous optimization across large well portfolios
- The role of anomaly detection in identifying issues before failures occur
- How autonomous setpoint management reduces manual intervention
- Common optimization gaps in traditional workflows
- How physics-informed AI integrates with existing SCADA infrastructure
The session also highlights how production teams are shifting from reactive alarm management to proactive, data-driven operations, allowing engineers and field staff to focus on higher-value work.
Watch the replay: Applying AI to Production Optimization
