Saudi Aramco deploys AI refinery optimisation system with Emerson to lift yield, efficiency
The system integrates Emerson’s Aspen Hybrid Models into Saudi Aramco’s refinery planning framework
08 May, 2026
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Saudi Aramco has deployed an artificial intelligence-based optimisation system developed with US automation firm Emerson Electric Co. aimed at improving refinery yield, operational efficiency and planning accuracy across its global refining network, the companies said.
The system integrates Emerson’s Aspen Hybrid Models into Aramco’s refinery planning framework, creating what the companies described as one of the largest multi-site, multi-period optimisation models in the refining sector.
Aramco said the hybrid models combine first-principles engineering simulations with artificial intelligence to better capture non-linear relationships in yield and product quality. The system has achieved up to 98.5 per cent accuracy in yield and quality predictions in key refinery units, according to the company.
The models are currently deployed in continuous catalyst regeneration (CCR) and Platformer units, where they are being used to improve feedstock blending decisions, narrow gaps between planning and actual operations, and enhance margin forecasting across the refining system.
A significant milestone in Aramco’s AI strategy
Aramco said work is underway to extend the system to hydrocracker units, with the aim of scaling the technology across additional assets.
“This deployment represents a significant milestone in Aramco’s AI strategy and our long-standing relationship with Emerson,” said Ahmad Alkudmani, director of the global optimiser department at Aramco.
He said the technology is helping reduce manual adjustments in planning processes and improving decision-making across refining operations.
Emerson said the approach allows refinery models to be continuously updated using large datasets built from simulation cases calibrated with operational plant data, enabling more accurate optimisation at scale.
“Aramco continues to set the standard for operational excellence through digital innovation,” said Claudio Fayad, chief technology officer of Emerson’s Aspen Technology business.
He said the collaboration demonstrates the value of combining industrial expertise with artificial intelligence in complex refinery planning systems.
The companies said the deployment supports more efficient feedstock selection, improved operational consistency and better alignment between planning models and real-world refinery performance.






















