AI-based predictive diagnostics deployed across PETRONAS sites — RM73.1 million saved through avoided failures.
Industry
Oil & Gas
Client / End User
PETRONAS
Country
Malaysia
Solutions
Asset Management Solution
Technology Used
AVEVA Predictive Analytics · PI System (Data Historian Platform)
Scope of Works
- Deployment of machine monitoring and predictive diagnostic solution across multiple PETRONAS plants and facilities
- Integration of AVEVA Predictive Analytics with existing PI System to enable centralized data collection and analysis
- Development and configuration of AI-based predictive models to detect anomalies, trends, and early warning signals
- Implementation of condition monitoring and asset performance monitoring for critical rotating equipment
- Establishment of alert and diagnostic workflows to enable early detection of potential equipment failures
- Collaboration with PETRONAS engineering and reliability teams to validate models and optimize system performance
- Phased rollout of solution across upstream and downstream sites, including pilot implementation and scaling
- System deployment in cloud environment to support multi-site monitoring and cross-functional visibility
- Ongoing system enhancement, performance monitoring, and support to ensure continuous operational improvement
Results
- Enabled early detection of equipment issues before failure
- Reduced unplanned downtime and improved plant reliability
- Achieved cost savings of RM73.1 million through avoided failures
- Improved asset utilization and operational efficiency
- Enhanced safety through proactive maintenance strategies