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Asset performance monitoring and alerting

Purpose

1.1. Automate continuous monitoring of critical assets in oil & gas production to identify performance deviations and potential failures.
1.2. Automate trigger-based alerting to maintenance teams and stakeholders for proactive intervention, uptime maximization, and operational risk reduction.
1.3. Automates centralized performance data aggregation from sensors, SCADA, PLCs, and IoT devices, feeding advanced analytics for actionable insights.
1.4. Automating compliance documentation for audit trails and process improvement in asset management and production operations.

Trigger Conditions

2.1. Automated threshold breaches (temperature, pressure, flow, vibration) as detected from real-time sensor feeds.
2.2. Scheduled polling automates periodic data collection and analysis for trend-based anomaly detection.
2.3. Automated receipt of diagnostics from edge devices or SCADA incidents.
2.4. Asset failure events, such as pump shutdown or abnormal gas composition.
2.5. Machine learning-driven anomaly score exceeds automated pre-set risk level.

Platform Variants


3.1. AWS IoT Core
• Feature/Setting: Rule Engine to automate message routing; configure SQL-based rule for triggering alerts when payload exceeds asset parameter thresholds.

3.2. Microsoft Azure IoT Hub
• Feature/Setting: Event Grid automates device telemetry processing; configure Event Subscription for specific asset conditions.

3.3. IBM Maximo
• Feature/Setting: Automation Scripts and Work Order APIs automate creation of maintenance tickets from sensor alerts.

3.4. Siemens MindSphere
• Feature/Setting: MindConnect API automates ingestion and event triggers; configure Notification Service for real-time alerts.

3.5. Google Cloud Pub/Sub
• Feature/Setting: Automate message-based triggering of data pipelines; configure push subscription for new event publishing.

3.6. ThingWorx
• Feature/Setting: Services & Events automates real-time anomaly alerting; configure ‘Alert Event’ for predefined asset metrics.

3.7. Honeywell Forge
• Feature/Setting: Alarm Management automates escalation paths; configure automated alarm workflow via APIs.

3.8. GE Digital Predix
• Feature/Setting: Alarm Rules API automates notifications; configure event-based webhook to maintenance system.

3.9. SAP Asset Intelligence Network
• Feature/Setting: Notification APIs automate incident registration; configure event notification endpoints.

3.10. Splunk
• Feature/Setting: Real-time alerting automates email/SMS escalation; configure search query and webhook alert actions.

3.11. PagerDuty
• Feature/Setting: Events API automates incident creation; configure event trigger for asset alarms.

3.12. Twilio
• Feature/Setting: Programmable SMS automates text alerts; configure SMS API for direct field communications.

3.13. ServiceNow
• Feature/Setting: Incident Management automates ticket creation; configure REST API integration with asset alerts.

3.14. Opsgenie
• Feature/Setting: Alert API automates notification routing; configure incident rules based on asset condition.

3.15. Slack
• Feature/Setting: Incoming Webhooks automate team notifications; configure webhook for channel-based alerting.

3.16. Microsoft Teams
• Feature/Setting: Connector to automate actionable messages; configure webhook for automated alert posting.

3.17. InfluxDB
• Feature/Setting: Continuous Queries automate time-series anomaly triggers; configure alert endpoints using Kapacitor.

3.18. Grafana
• Feature/Setting: Alerting Rules automate dashboard-based notifications; configure threshold triggers for asset panels.

3.19. PTC Kepware
• Feature/Setting: Event Notification Plug-In automates SCADA alerts; configure tag-based triggers.

3.20. Ignition by Inductive Automation
• Feature/Setting: Alarm Notification Pipelines automate escalation; configure tags and schedules for automated responses.

Benefits

4.1. Automates detection of asset issues, reducing unscheduled downtime and costly repairs.
4.2. Automated alerting improves response time, boosting operational safety.
4.3. Reduces manual monitoring effort through automation, increasing team productivity.
4.4. Automates data-driven compliance with regulatory and audit requirements.
4.5. Empowers predictive maintenance automation, extending asset lifecycle.

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