Detect Abnormal Events Early and Keep Your Process Running with Geometric Process Control

Abnormal events are any unplanned qualitative change in operation including equipment faults, equipment degradation, unrejected disturbances, operations errors, and others. These are implicated in nearly every safety event and have a huge cost impact in lost production. Early detection gives operators time to react, correct the issue and mitigate negative impacts. Geometric Process Control (GPC) models outperform other models for abnormal event detection, being both more sensitive and directing the operator to the precise process variables implicated.

GPC provides real-time dynamic limits directly to operators, adding to situational awareness and alerting on unusual process changes. These models are built by engineers using data already present in the plant historian and their process knowledge. No additional plant tests or data are required, and the mathematics (and geometry) are fully automated.  Models are quick to build and thus low-cost and attractive to front-line process and control engineers.

In this webinar you will see how you and your engineers can build multi-variable process models for event prediction using process understanding, a glimpse into technology and how the model is applied in the control room, and see some results obtained by users.