An intensive professional development training course on
Advanced Refinery Process Yields Optimization
Why Choose Advanced Refinery Process Yields Optimization Training Course?
Refinery process yield optimization is a critical component of maximizing profitability and minimizing environmental impact. This Advanced Refinery Process Yields Optimization training course takes a deep dive into advanced techniques for optimizing refinery yields, focusing on the application of process control technologies, advanced modeling, and energy efficiency strategies. Participants will explore how cutting-edge technologies such as machine learning and AI can be leveraged to enhance refinery performance. The course also covers yield analysis, optimization of key processes such as distillation and cracking, and how to address process bottlenecks to achieve operational excellence.
What are the Goals?
By the end of this training course, participants will be able to:
- Learn advanced strategies for optimizing process yields in refinery operations
- Understand the role of key performance indicators (KPIs) in refining efficiency
- Apply process control and simulation techniques for yield improvement
- Explore methods to reduce energy consumption and minimize emissions
- Understand how to leverage digital technologies, including AI and machine learning, for process optimization
Who is this Training Course for?
This AZTech training course is suitable to a wide range of professionals but will greatly benefit:
- Refinery Engineers
- Process Optimization Specialists
- Production Managers
- Energy Efficiency Consultants
- Control Systems Engineers
How will this Training Course be Presented?
This AZTech training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes an interactive mixture of lecture-led learning & group discussions.
The Course Content
Day One: Introduction to Refining Process Yields and Key Influencing Factors
- 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
Day Two: Process Control Systems and Their Role in Yield Optimization
- 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
Day Three: Energy Efficiency in Refining Operations
- 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
Day Four: Process Simulation and Advanced Modeling Techniques
- 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
Day Five: Future Trends in Refinery Optimization: Digitalization and Innovation
- 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
The Certificate
- AZTech Certificate of Completion for delegates who attend and complete the training course
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