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CODE: NOG19
DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
This course analyses the integration of Artificial Intelligence (AI) and advanced analytics into refinery economics, focusing on yield optimization, margin maximization and cost control in today’s highly competitive energy market. Participants will learn how AI-driven models can enhance decision making in crude selection, product blending, energy management and operational efficiency. Through practical case studies and experimental exercises, the course demonstrates how smart technologies can transform traditional refinery economics, improve profitability and support sustainable operations.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Understand the role of AI and machine learning in modern refinery economics.
Apply AI-driven techniques to optimize yields, product slates, and operating costs.
Enhance decision-making for crude selection, blending, and margin management.
Develop strategies for energy efficiency, sustainability, and emissions reduction.
Gain practical insights from real-world case studies and digital tools.
Leverage predictive analytics to anticipate market trends and maximize refinery profitability.
At the end of this course, you’ll understand:
This course is designed for refinery managers, process engineers, planning and economics teams, operations supervisors, financial analysts and decision makers in the oil and gas sector who seek to leverage AI tools and digital transformation strategies for improved refinery performance and cost efficiency.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
