Industrial Use-Case & Data-Driven Model Development Partner for Smart Sensing Projects

TÜPRAŞ is interested in joining collaborative R&D consortia focused on smart sensing, photonics-based monitoring, and AI-enabled industrial optimization.

As the largest refining company in Türkiye, TÜPRAŞ can contribute as an industrial end-user by providing real refinery use-cases, operational constraints, and high-quality process data from complex conversion units.

Our role in such projects would include:
• Defining industrial challenges and validation environments
• Supplying real operational datasets from refinery processes
• Developing chemometric and machine learning models for prediction and monitoring
• Supporting pilot demonstrations and performance evaluation in industrial conditions

Key application areas of interest include thermal cracking furnaces, coil temperature prediction, coking tendency monitoring, energy efficiency improvement, and predictive maintenance.

We welcome opportunities to participate in European collaborative projects where advanced sensor technologies are combined with data-driven modeling and decision support for smarter industrial operations.TÜPRAŞ is interested in joining collaborative R&D consortia focused on smart sensing, photonics-based monitoring, and AI-enabled industrial optimization.

As the largest refining company in Türkiye, TÜPRAŞ can contribute as an industrial end-user by providing real refinery use-cases, operational constraints, and high-quality process data from complex conversion units.

Our role in such projects would include:
• Defining industrial challenges and validation environments
• Supplying real operational datasets from refinery processes
• Developing chemometric and machine learning models for prediction and monitoring
• Supporting pilot demonstrations and performance evaluation in industrial conditions

Key application areas of interest include thermal cracking furnaces, coil temperature prediction, coking tendency monitoring, energy efficiency improvement, and predictive maintenance.

We welcome opportunities to participate in European collaborative projects where advanced sensor technologies are combined with data-driven modeling and decision support for smarter industrial operations.