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Webinar on demand

Compressor Trips: Preventing €1M in Production Losses

Pablo Sanchez
Industry Principal
Reading time:
Watch time:
40
min.

About the webinar

In this on-demand webinar, we use a real refinery compressor dataset to show how to identify the early warning signs that precede trips, performance degradation, and costly shutdowns before they create a €1M impact.

What you'll learn

  • Tracking compressor performance and reliability KPIs over time
  • Using Event Analytics to visualize compressor events and uncover correlations behind recurring failures
  • Identifying similar operating patterns and root causes across historical events
  • Developing prescriptive recommendations from past failures to support faster troubleshooting and operational decision-making
  • Building predictive monitors, dashboards, and alerts to reduce unplanned downtime and improve asset reliability

Who should watch

Process Engineers, Production Managers, Maintenance Engineers, Operations Managers, Data Scientists and Analysts, Digital Transformation Leaders, Plant Managers, and Sustainability Managers.

Complete the form to watch the full recording on demand.

Oil & gas
Energy & natural resources
Asset Performance Management
Operational Performance Management
Predictive Maintenance
Anomaly Detection
Process Health Monitoring
Process Engineer
Plant Manager
Maintenance Engineer
Reliability Engineer
Share with a co-worker

About the webinar

In this on-demand webinar, we use a real refinery compressor dataset to show how to identify the early warning signs that precede trips, performance degradation, and costly shutdowns before they create a €1M impact.

What you'll learn

  • Tracking compressor performance and reliability KPIs over time
  • Using Event Analytics to visualize compressor events and uncover correlations behind recurring failures
  • Identifying similar operating patterns and root causes across historical events
  • Developing prescriptive recommendations from past failures to support faster troubleshooting and operational decision-making
  • Building predictive monitors, dashboards, and alerts to reduce unplanned downtime and improve asset reliability

Who should watch

Process Engineers, Production Managers, Maintenance Engineers, Operations Managers, Data Scientists and Analysts, Digital Transformation Leaders, Plant Managers, and Sustainability Managers.

Complete the form to watch the full recording on demand.

Access now

Share with a co-worker

About the webinar

In this on-demand webinar, we use a real refinery compressor dataset to show how to identify the early warning signs that precede trips, performance degradation, and costly shutdowns before they create a €1M impact.

What you'll learn

  • Tracking compressor performance and reliability KPIs over time
  • Using Event Analytics to visualize compressor events and uncover correlations behind recurring failures
  • Identifying similar operating patterns and root causes across historical events
  • Developing prescriptive recommendations from past failures to support faster troubleshooting and operational decision-making
  • Building predictive monitors, dashboards, and alerts to reduce unplanned downtime and improve asset reliability

Who should watch

Process Engineers, Production Managers, Maintenance Engineers, Operations Managers, Data Scientists and Analysts, Digital Transformation Leaders, Plant Managers, and Sustainability Managers.

Complete the form to watch the full recording on demand.

Access now

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