COURSE OVERVIEW

This practical and highly-interactive course includes various practical sessions and exercises. Theory learnt will be applied using our state-of-the-art simulators. 

 

This course is designed to provide participants with a detailed and up-to-date overview of Power Generation and Gas Processing. It covers the types of power plants, power generation components, efficiency and sustainability in power generation and role of power plants in the grid system; the fundamentals of gas turbines, power generation plant configuration, basic thermodynamics in power generation and fuel types and selection for power generation; the role of gas processing in power generation; the gas purification and conditioning and gas processing flow diagram; the natural gas composition and properties and gas compression and transport; and the dehydration and filtration processes. 

 

Further, the course will also discuss the sulfur compounds from natural gas and combined cycle power plant, heat recovery and utilization and advanced control systems in power plants; the emissions control and environmental compliance, performance and reliability in power generation and cryogenic gas processing; the gas-to-liquid (GTL) technologies and gas field development and production including advanced gas cleaning and purification. 

 

 

During this interactive course, participants will learn the proper methods of hydrogen production, storage and transportation; creating maintenance schedules and checklists and using proper tools for condition monitoring; the maintenance best practices for gas turbines and common problems in gas processing; the systematic troubleshooting approach and handling system failures and emergency response; the efficiency data from turbines and gas processing; the proper techniques for fuel and energy consumption reduction and operational adjustments for maximum efficiency; using SCADA for real-time diagnostics, alarm management and event logging, data analysis for predictive maintenance and integrating AI and machine learning for performance optimization; the safety standards and regulations and personal protective equipment (PPE) and its usage; and the lock-out/tag-out (LOTO) procedures and safety audits and incident reporting.