Saudi Aramco deploys AI refinery system with Emerson
Summary
Saudi Aramco deployed an AI-driven refinery optimisation platform developed with Emerson that integrates Aspen Hybrid Models into its refinery planning framework. The hybrid models combine first-principles engineering with industrial AI and plant data, achieving prediction accuracy up to 98.5% in key units. Aramco initially applied the models to CCR and Platformer units to optimise feedstock blending, product quality forecasting and margin prediction, and plans to extend to hydrocracker units to validate scalability. The deployment aims to improve yields, reduce planning-to-execution gaps, automate model updates and lower manual engineering intervention while enabling more dynamic, profitable and sustainable feedstock strategies.
Classifications
industries
Energy & Natural Resources
applications
AI & Machine learning
AskAI Classifications
Labels
Industrial Software
SaaS
Process Optimization Software
