Training Course on Refinery Process Yield Optimisation

Course Title: Training Course on Refinery Process Yield Optimisation

Executive Summary

This intensive two-week course is designed to equip refinery professionals with the knowledge and tools to optimize process yields, reduce losses, and improve profitability. Participants will delve into the intricacies of refinery operations, exploring advanced techniques in process monitoring, control, and troubleshooting. Through a blend of theoretical sessions, practical simulations, and real-world case studies, the course focuses on enhancing understanding of yield-affecting parameters, optimizing process conditions, and implementing effective loss-reduction strategies. The program emphasizes a holistic approach, integrating technical expertise with economic considerations to achieve sustainable improvements in refinery performance. Participants will develop skills to identify opportunities for yield enhancement, implement best practices, and contribute to a more efficient and profitable refinery operation. A key outcome is the ability to create and execute action plans for yield optimization within their respective refineries.

Introduction

Refinery process yield optimization is crucial for maximizing profitability and operational efficiency in today’s competitive market. Fluctuations in crude oil quality, changing product demands, and increasingly stringent environmental regulations pose significant challenges to refinery operations. This course provides a comprehensive understanding of the factors influencing refinery yields, from feedstock selection and processing conditions to product blending and distribution. Participants will explore advanced process control techniques, analytical methods, and optimization strategies to enhance yield performance across various refinery units. The course emphasizes a data-driven approach, utilizing real-time monitoring and analysis to identify bottlenecks, mitigate losses, and improve overall efficiency. By fostering a collaborative learning environment and incorporating practical case studies, this program aims to empower refinery professionals with the skills and knowledge necessary to drive sustainable improvements in yield optimization and refinery profitability. Furthermore the course will present methodologies for improving process upsets, identifying recycle opportunities, understanding waste streams and optimization of energy consumption.

Course Outcomes

• Understand the key factors influencing refinery process yields.
• Apply advanced process control techniques to optimize unit performance.
• Identify and mitigate sources of product losses in refinery operations.
• Implement strategies for feedstock optimization and product blending.
• Utilize data analysis and process monitoring to improve yield performance.
• Develop and implement action plans for yield optimization in their respective refineries.
• Apply principles of sustainability and environmental responsibility in refining processes.

Training Methodologies

• Interactive lectures and discussions.
• Case study analysis of real-world refinery scenarios.
• Process simulation exercises using industry-standard software.
• Group problem-solving activities.
• Hands-on workshops on data analysis and optimization techniques.
• Expert guest lectures from experienced refinery professionals.
• Site visits to refinery facilities (if feasible).

Benefits to Participants

• Enhanced understanding of refinery process optimization principles.
• Improved skills in process monitoring, control, and troubleshooting.
• Increased ability to identify and mitigate yield-affecting factors.
• Greater confidence in implementing yield optimization strategies.
• Expanded network of contacts within the refining industry.
• Career advancement opportunities through specialized training.
• Improved ability to contribute to a more efficient and profitable refinery operation.

Benefits to Sending Organization

• Increased refinery profitability through yield optimization.
• Reduced product losses and waste generation.
• Improved operational efficiency and throughput.
• Enhanced process control and stability.
• More effective utilization of feedstock and resources.
• Strengthened environmental performance and regulatory compliance.
• Increased employee expertise and competitiveness.

Target Participants

• Process Engineers
• Operations Managers
• Production Supervisors
• Control System Engineers
• Chemical Engineers
• Refinery Technicians
• Plant Managers

WEEK 1: Refinery Process Fundamentals and Yield Optimisation Principles

Module 1: Introduction to Refinery Processes

1. Overview of refinery operations and product streams.
2. Crude oil characterization and processing considerations.
3. Key refinery units and their functions.
4. Process flow diagrams (PFDs) and piping and instrumentation diagrams (P&IDs).
5. Safety considerations in refinery operations.
6. Environmental regulations and compliance.
7. Refinery economics and profitability.

Module 2: Factors Affecting Refinery Yields

1. Feedstock quality and composition.
2. Process conditions (temperature, pressure, flow rates).
3. Catalyst performance and deactivation.
4. Equipment efficiency and maintenance.
5. Process control and instrumentation.
6. Product blending and specifications.
7. Losses due to leaks, spills, and emissions.

Module 3: Process Monitoring and Control

1. Instrumentation and sensors for process monitoring.
2. Data acquisition and analysis systems.
3. Statistical process control (SPC) techniques.
4. Advanced process control (APC) strategies.
5. Model predictive control (MPC).
6. Real-time optimization (RTO).
7. Alarm management and process safety systems.

Module 4: Loss Reduction Strategies

1. Identifying sources of product losses.
2. Leak detection and repair programs.
3. Vapor recovery units (VRUs).
4. Flare minimization strategies.
5. Waste management and disposal.
6. Process optimization for loss reduction.
7. Inventory control and accounting.

Module 5: Case Studies in Yield Optimization

1. Analysis of successful yield optimization projects.
2. Lessons learned from refinery case studies.
3. Application of best practices in yield management.
4. Benchmarking against industry standards.
5. Identifying opportunities for yield improvement in your refinery.
6. Developing action plans for implementation.
7. Group discussions and presentations.

WEEK 2: Advanced Techniques and Implementation Strategies

Module 6: Feedstock Optimization and Product Blending

1. Crude oil selection and sourcing.
2. Feedstock blending strategies.
3. Product blending optimization techniques.
4. Linear programming (LP) models for blending.
5. Meeting product specifications and regulations.
6. Economic considerations in blending.
7. Quality control and assurance.

Module 7: Advanced Process Control Applications

1. APC for distillation columns.
2. MPC for catalytic cracking units.
3. RTO for refinery-wide optimization.
4. Inferential modeling for process control.
5. Nonlinear control techniques.
6. Adaptive control strategies.
7. Troubleshooting and tuning control loops.

Module 8: Energy Efficiency and Sustainability

1. Energy audits and conservation measures.
2. Heat integration and recovery.
3. Cogeneration and combined heat and power (CHP).
4. Waste heat recovery systems.
5. Renewable energy integration.
6. Carbon capture and storage (CCS).
7. Lifecycle assessment (LCA) of refinery processes.

Module 9: Troubleshooting and Problem Solving

1. Root cause analysis (RCA) techniques.
2. Failure mode and effects analysis (FMEA).
3. Process troubleshooting methodologies.
4. Use of diagnostic tools and equipment.
5. Case studies in refinery troubleshooting.
6. Preventive maintenance strategies.
7. Predictive maintenance techniques.

Module 10: Implementation and Action Planning

1. Developing a comprehensive yield optimization plan.
2. Setting measurable goals and objectives.
3. Identifying key performance indicators (KPIs).
4. Assigning responsibilities and timelines.
5. Securing management support and resources.
6. Monitoring progress and tracking results.
7. Continuous improvement and sustainability.

Action Plan for Implementation

1. Conduct a baseline assessment of current refinery yields and losses.
2. Identify key areas for improvement and prioritize projects.
3. Develop detailed action plans for each project with specific goals, timelines, and responsibilities.
4. Implement process monitoring and data analysis systems to track progress.
5. Regularly review and adjust action plans based on performance data.
6. Share best practices and lessons learned across the organization.
7. Seek continuous improvement through ongoing training and development.