Upstream operators are under pressure to do more with existing assets—amid cost inflation, constrained investment, leaner teams, and growing maintenance backlogs. Yet most organisations are still data-rich but insight-poor: PI/historian data exists, but it isn’t consistently converted into early warnings and clear operational actions.
This practical, discussion-led webinar explores how operations, reliability, and digital teams can reduce unplanned downtime, stabilise costs, and protect production performance by turning existing operational data into trusted early warning signals and decision workflows—without turning the session into a product demo.
Who should attend:
- Operations & production leadership
- Reliability / maintenance managers
- Production engineers
- Asset integrity engineers
- Digital / OT / data & analytics teams
- Digital transformation leaders
- Digital asset information leads
- IT resources supporting OT/data platforms
Key takeaways:
- Move from reactive to proactive maintenance by identifying failure signatures earlier using existing PI/historian signals
- Reduce unplanned downtime and deferment by spotting degradation and abnormal conditions sooner
- Turn operational signals into decisions teams trust—without overwhelming users or creating alert fatigue
- Operationalise predictive insights with clear ownership, thresholds, workflows, and decision cadence
- Improve safety, compliance, and traceability through earlier detection and consistent response
- Scale without disruption by building on PI/historian foundations and standard operating routines
| Agenda: |
| - Welcome + Introduction |
| - Upstream pressures and production challenges |
| - The role and AI and data intelligence in mitigating challenges |
|
- Customer case study: Harbour Energy
|
| - Q&A |
