Reliability, Availability and Maintainability (RAM) Modelling – Ministry of Energy, Saudi Arabia (2024)
- Challenge
- No kingdom-wide view of reliability and availability across upstream assets, GOSP, and refineries
- Decisions on capacity, spares, and new investments driven by siloed studies, not system behavior
- Difficulty quantifying risk, downtime impact, and revenue loss across interconnected facilities
- Limited ability to test future demand scenarios against existing infrastructure constraints
- High uncertainty in estimating cost and performance of new O&G sites, equipment, and spares
- AIGC Solution
- Developed a Saudi Arabia–wide RAM simulation model covering upstream, GOSP, and refinery systems
- Built fully interconnected digital reliability models reflecting real asset dependencies and flows
- Deployed upstream business simulation software with installation, training, and advisory support
- Enabled scenario-based simulations for demand growth, outages, maintenance strategies, and expansions
- Integrated asset reliability, maintenance policies, spare coverage, and failure behavior into one model
- Realized Value
- Delivered a single source of truth for national-level asset availability and production capability
- Quantified production throughput, revenue exposure, shutdown impacts, and maintenance costs
- Identified critical assets and system bottlenecks limiting capacity and supply reliability
- Enabled data-backed planning for new sites, equipment sizing, and spare strategies
- Helped bridge supply–demand gaps using predictive, scenario-driven insights
- Shifted strategic decisions from assumptions to measurable risk vs value outcomes