Reliability, Availability and Maintainability (RAM) Modeling – Aramco Gas Operation 2025–2026
- Challenge
- Managing reliability risk across 14,000+ assets spread over 11 gas facilities
- Limited visibility into how individual asset failures impact system-wide production and revenue
- Difficulty prioritizing maintenance, spares, and capex based on real risk and criticality
- Inability to quantify trade-offs between availability, maintenance cost, and production loss
- Strategic decisions relied on static assumptions rather than dynamic, interconnected system behavior
- AIGC Solution
- Developed end-to-end RAM simulation models covering all major process units and interdependencies
- Built digital replicas of 11 gas facilities with full asset-level connectivity and failure logic
- Integrated reliability data, maintenance strategies, spare parts policies, and repair times
- Simulated multiple operational scenarios to evaluate shutdowns, slowdowns, and cascading failures
- Enabled predictive modeling for future performance, expansion options, and new asset investments
- Realized Value
- Quantified asset availability, utilization, throughput, and revenue impact at system level
- Identified critical assets and bottlenecks driving the highest production and revenue risk
- Optimized maintenance and spare strategies, improving availability while controlling cost
- Enabled data-backed decisions on new equipment, spares, and O&G site investments
- Provided leadership with a clear view of risk vs value for every improvement opportunity
- Translated technical reliability insights directly into capacity planning and revenue outcomes