COURSE OVERVIEW

This practical and highly-interactive course includes real-life case studies and exercises where participants will be engaged in a series of interactive small groups and class workshops. 

 

This course is designed to provide participants with a detailed and up-to-date overview of Artificial Intelligence in Crude Oil Refining. It covers the evolution of AI in the oil refining industry and key AI technologies covering machine learning, deep learning, IoT and digital twins; the AI for crude oil feedstock analysis, distillation and fractionation optimization and refinery process control and automation; optimizing hydrocracking and reforming units and monitoring isomerization reactions; the AI-driven performance improvements in catalytic reforming and AI for optimizing alkylation and polymerization processes; the AI for predictive maintenance of refinery equipment, heat exchanger and boiler efficiency optimization; and the AI for fluid catalytic cracking (FCC) optimization. 

 

Further, the course will also discuss the AI for pump and compressor health monitoring, pipeline and storage tank monitoring; the AI for crude oil blending and feedstock selection, hydroprocessing and desulfurization, hydrogen and sulfur recovery units (SRU); the AI for refinery energy efficiency and emissions reduction including aromatics, gasoline and diesel production; and the hazard identification in refineries, accident prediction and prevention, gas detection, leak prevention, emergency response and safety drills.

 

During this interactive course, participants will learn the AI-driven predictive analytics for greenhouse gas emissions and machine learning for refinery air quality monitoring; the AI-powered real-time monitoring of volatile organic compounds (VOCs) and AI-assisted compliance with environmental regulations; the digital twin, AI in advanced control systems and process automation; the smart refinery management and AI-driven decision making; the future AI trends in refining and crude oil processing; and the AI-driven predictive analytics in oil refining including reducing operational costs and increasing efficiency.