Aramco Advances Refining with AI
Dhahran | B | B
May 6, 2026
In a step reflecting the accelerating digital transformation in the energy sector, Emerson announced the successful deployment of an AI-powered solution for Saudi Aramco, aimed at increasing refinery productivity and enhancing operational efficiency on a global scale.
Saudi Aramco has integrated Aspen Hybrid Models™ into its refinery planning framework, in what is considered one of the world’s largest multi-site, multi-period process optimization models.
The solution combines:
- First-principles models
- Deep domain expertise
- Purpose-built AI technologies
This integration enables the capture of nonlinear relationships between production and quality indicators, raising prediction accuracy to approximately 98.5% in key refinery units.
The implementation has covered:
- Continuous Catalyst Regeneration (CCR) units
- Gasoline blending and upgrading units
with ongoing efforts to expand the models to include hydrocracking units.
Direct Impact
- Prediction accuracy of production and quality reaching 98.5%
- Improved feedstock blending and greater sourcing flexibility
- Reduced gap between planning and execution
- Enhanced operational efficiency with less manual intervention
- A scalable model across Aramco’s global refining network
B Analysis | بث
What is happening goes beyond “process optimization”
to redefining refinery management:
From experience-driven decisions
to a system led by data and intelligence
Aramco is not only advancing refining,
it is building a new model:
Smarter refining… with sharper decisions