Dhahran, Saudi Arabia – Emerson, a global leader in automation, announced the successful implementation of one of its AI-based solutions for Saudi Aramco, one of the world’s largest integrated energy and chemicals companies. This collaboration began with the integration of Emerson’s Aspen Hybrid Models ™ as part of Saudi Aramco’s existing refinery planning framework, resulting in one of the world’s largest multi-site and multi-period process optimization models .

By combining fundamental principles-based models, deep industry expertise, and purpose-built artificial intelligence techniques, Aspen Hybrid Models ™ enables the detection and recording of nonlinear relationships in production and quality indicators, significantly enhancing the accuracy of refinery planning models. This solution has successfully predicted production and quality in key refinery units with an accuracy of up to 98.5% .

These AI-based hybrid models have been implemented in Continuous Catalyst Regeneration (CCR) and gasoline upgrading units, where they contribute to improving feedstock blending accuracy, reducing gaps between planning and execution, and enhancing the accuracy of predicting operating margins across Saudi Aramco’s global refining network.

Current efforts are focused on expanding the application of hybrid models to include hydrocracking units within Saudi Aramco's facilities. This expansion is expected to improve model accuracy and enhance the scalability of this AI-based approach across the company's various operations .

The key benefits that Saudi Aramco seeks to achieve through "Aspen Hybrid Models ™ " include :

• Production and quality forecasting accuracy reaches 98.5%, contributing to increased production volume and improved flow quality across various feedstock types and operating conditions.
• Improving efficiency through optimal feedstock blending, thereby diversifying feedstock sources and blending recipes to achieve more profitable and sustainable operations.
• Reducing the gap between planning and execution, by minimizing discrepancies between plans and actual unit performance and reducing the need for manual adjustments.
• Enhancing the accuracy of models by monitoring and recording complex nonlinear correlations in biological processes such as reactors
• Improving operational efficiency by automating model updates and reducing the need for manual adjustments.
• A scalable, global solution that supports the applicability of models across a wide range of refining operations worldwide.

Aramco utilizes Aspen Hybrid Models ™ , developed and deployed as part of Emerson’s AspenTech Performance Engineering, Manufacturing, and Supply Chain product suite. This has enabled Saudi Aramco to create highly accurate, nonlinear optimization models using thousands of convergent simulations, built upon precise baseline models calibrated with actual plant operating data. This approach provides a powerful and scalable tool for refinery planning globally .

Claudio Fayyad, Chief Technology Officer of Emerson's Aspen Technologies unit, said: "Saudi Aramco continues to set leading standards for operational excellence through digital innovation. Thanks to its role in improving complex, multi-site, and multi-period planning processes, the deployment of Aspen Hybrid Models reflects the tangible value of combining deep industry expertise with advanced AI technologies. We are pleased to expand our strategic partnership with Saudi Aramco as it moves forward on its digital transformation journey ."

About Emerson

Emerson ( NYSE: EMR ) is a leader in providing automation solutions that address the world’s most complex technological challenges. Headquartered in St. Louis, Missouri, Emerson is dedicated to delivering engineering solutions that build the future of automation, enabling customers to improve operations and accelerate innovation. For more information, visit Emerson.com

For media inquiries: emerson@activedmc.com

-I finish-

#Company Data

Disclaimer regarding the content of press releases
The content of this press release is provided by a third-party provider. We do not assume any responsibility for, nor do we have any control over, such content. This content is provided on an "as is" and "as available" basis and is not edited in any way. Neither we, nor our affiliates, will be liable for the accuracy, endorsement, or completeness of any opinions, views, information, or materials contained in this content.
This press release is provided for informational purposes only; the content does not constitute legal, investment, or tax advice, nor does it offer any opinion on the suitability, value, or profitability of any particular portfolio or investment strategy. Neither we nor our affiliates will be liable for any errors or inaccuracies in the content, or for any actions you take based on that content. You expressly agree and acknowledge full responsibility for your use of the information contained in this press release.
To the extent permitted by applicable law, Refinitiv, its parent company, subsidiaries, affiliates, relevant shareholders, directors, officers, employees, agents, advertisers, content providers, and licensors (collectively, the 'Refinitiv Parties') shall not be liable (jointly or severally) to you for any direct, indirect, consequential, special, incidental, punitive, or exemplary damages; This includes, but is not limited to, losses of profits, savings, or revenues, whether due to negligence, tort, contract, or other theories of liability, even if the parties to Refinitiv were advised of the possibility of any such damages or losses occurring or actually anticipated them.