An intensive professional development training course on
Advanced Refinery Process Yields Optimization
Enhancing Refinery Efficiency Through Advanced Yield, Control, and Energy Optimisation
Why Choose Advanced Refinery Process Yields Optimization Training Course?
Refinery Process Yields Optimization Training Course is essential for professionals looking to enhance refinery profitability, energy efficiency, and operational performance in an increasingly competitive global market. As refineries process more complex crudes and face stricter environmental regulations, the ability to accurately analyze yields, optimise key unit operations, and reduce energy consumption has become a critical technical competency. This training course provides a focused understanding of how advanced optimisation techniques can significantly improve refinery output and efficiency.
Through this Refinery Process Yields Optimization Training, participants will explore advanced approaches that enhance the performance of distillation, cracking, hydroprocessing, and other key refining operations. The course highlights how modern process control systems, dynamic modelling, and digital tools support real-time decision-making and help refineries avoid bottlenecks. Participants will gain insights into how energy reduction strategies, yield improvement techniques, and targeted process adjustments combine to deliver measurable increases in operating efficiency.
In addition, the course examines how emerging technologies—including simulation platforms, predictive modelling, and AI-driven optimisation—are reshaping refinery operations. By the end of the course, participants will be able to connect process data, operational constraints, and optimisation tools to refine daily decisions, support long-term planning, and drive sustainable, profitable outcomes
What are the Goals?
This Refinery Process Yields Optimization Training Course strengthens participants’ capability to analyse, optimise, and improve refinery performance using advanced methodologies. The course introduces a structured approach to improving yields by applying process control techniques, evaluating key performance indicators, and reducing energy usage across core refinery units.
By the end of this training course, participants will be able to:
- Learn advanced strategies for optimising process yields in refinery operations
- Understand the role of KPIs in measuring and improving refining efficiency
- Apply process control and simulation techniques for higher yields
- Explore methods to reduce energy consumption and minimise emissions
- Utilise digital technologies, including AI and machine learning, for process optimisation
Who is this Training Course for?
This Refinery Process Yields Optimization Training is designed for professionals responsible for refining operations, production efficiency, and advanced optimisation initiatives. It provides valuable insights for both technical and operational personnel working across refinery value chains. The course also benefits professionals supporting digital transformation and energy efficiency within refining environments.
This training course will greatly benefit:
- Refinery engineers
- Process optimisation specialists
- Production managers
- Energy efficiency consultants
- Control systems engineers
How will this Training Course be Presented?
This Refinery Process Yields Optimization Training Course applies a practical and interactive learning methodology to reinforce knowledge and ensure strong retention. Technical concepts are linked to real refinery scenarios, providing participants with practical insight into improving process efficiency and yields.
Training delivery includes:
- Instructor-led presentations covering key refinery optimisation concepts
- Group discussions to connect theory with operational challenges
- Case studies demonstrating successful yield improvements
- Hands-on examples and modelling exercises to strengthen technical understanding
- Collaborative sessions focused on analysing performance issues and optimisation options
The Course Content
- Overview of refinery processes and yield optimization concepts
- Key factors influencing yields: crude quality, equipment design, and operational conditions
- Techniques for analyzing yield performance and identifying bottlenecks
- Role of advanced control systems (DCS, MPC) in refinery operations
- Model Predictive Control (MPC) for real-time optimization of key processes
- Case studies of how control systems have improved yield outcomes
- Best practices for reducing energy consumption in refining units
- Optimization of distillation columns, hydroprocessing, and cracking units for energy efficiency
- Heat integration techniques and waste heat recovery applications
- Introduction to simulation tools (Aspen, HYSYS) for process optimization
- Using process models to simulate different operational scenarios and predict outcomes
- Hands-on exercises in process modeling for optimizing key refinery units
- Exploring the role of AI and machine learning in refinery optimization
- Digital twins and their application for process monitoring and yield improvement
- Case studies of innovation-driven yield enhancements and future trends in the refining industry
Certificate and Accreditation
- AZTech Certificate of Completion for delegates who attend and complete the training course
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