Using probabilistic methods to estimate quantitative risk level
Missed the Live WEbinar?
Watch the replay and learn How to Leverage:
- CIM’s advanced machine learning algorithms to verify data
- Real-time analytical results
- Risk for each pipeline segment, on a rolling-mile basis
- Probability of failure across all nine pipeline threats
OneBridge and C-FER hosted a free webinar on July 20th at 10 am CDT (9 am MDT) to share how C-FER’s risk models use probabilistic methods to estimate quantitative risk levels for major threats to the pipeline. Attendees then explored how these models are embedded into OneBridge’s CIM solution.
The C-FER-OneBridge integration will help operators:
- Access real-time capabilities for assessing risk on a rolling mile for each pipeline segment
- Monitor the entire pipeline system through CIM’s embedded Microsoft PowerBI dashboards.
- Allow operators to compare performance to peers based on targeted reliability thresholds are assigned industry equivalent rupture rates tiered by quadrant
Incorporate real-time quantitative probability of failure into your standard integrity management program process by:
- identifying anomalies that exceed your targeted reliability thresholds,
- drill-down to view previous excavations and as found results, and;
- let OneBridge’s CIM suggest the ideal ROI between tool runs and digs.
No more importing, exporting, and manipulating data across siloed systems, the entire business process is now centralized in a modern enterprise-wide SaaS solution incorporating the industry validated risk models by C-FER.
