Fuel Gas and Hydrogen Network Optimization Study Project – Petro Rabigh
- Challenge
- Complex fuel gas and hydrogen network with multiple sources, consumers, and varying compositions
- High flaring and liquid fuel usage during imbalance and transient conditions
- Difficulty maintaining stable fuel quality and calorific value across units
- Limited visibility into pipeline bottlenecks, pressure drops, and control constraints
- Manual or offline studies leading to delayed operational decisions
- AIGC Solution
- Built an integrated digital model of the fuel gas and H₂ network covering sources, headers, consumers, and pipelines
- AI-assisted scenario analysis to evaluate blending ratios, routing strategies, and load changes in near real time
- Dynamic simulation to study transient behavior, hydraulics, and network stability
- Optimization engine to recommend optimal fuel mixing, routing, and dispatch while respecting safety and process constraints
- What-if simulations for upset conditions, maintenance scenarios, and demand fluctuations
- Realized Value
- Reduced flaring by maximizing utilization of in-house off-gases and hydrogen
- Lower liquid fuel consumption through optimized fuel gas blending
- Improved fuel gas quality stability and molecular weight control
- Early identification of network bottlenecks, improving reliability and control response
- Faster, data-backed operational decisions with measurable energy cost savings