Advanced Refinery Process Yields Optimization

Course OG-023

Advanced Refinery Process Yields Optimization

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Classroom

12 sessions
18 - 22 January 2027 €3,280 + VAT Register
15 - 19 February 2027 €2,315 + VAT Register
15 - 19 March 2027 €2,275 + VAT Register
19 - 23 April 2027 €3,225 + VAT Register
17 - 21 May 2027 €2,815 + VAT Register
21 - 25 June 2027 €3,825 + VAT Register
19 - 23 July 2027 €1,875 + VAT Register
16 - 20 August 2027 €2,815 + VAT Register
20 - 24 September 2027 €3,280 + VAT Register
18 - 22 October 2027 €2,315 + VAT Register
15 - 19 November 2027 €2,275 + VAT Register
20 - 24 December 2027 €3,225 + VAT Register
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Online / Live

12 sessions
18 - 22 January 2027 €1,215 + VAT Register
15 - 19 February 2027 €1,215 + VAT Register
15 - 19 March 2027 €1,215 + VAT Register
19 - 23 April 2027 €1,215 + VAT Register
17 - 21 May 2027 €1,215 + VAT Register
21 - 25 June 2027 €1,215 + VAT Register
19 - 23 July 2027 €1,215 + VAT Register
16 - 20 August 2027 €1,215 + VAT Register
20 - 24 September 2027 €1,215 + VAT Register
18 - 22 October 2027 €1,215 + VAT Register
15 - 19 November 2027 €1,215 + VAT Register
20 - 24 December 2027 €1,215 + VAT Register
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Introduction

Course overview

Maximizing refinery process yields is essential for improving profitability, increasing operational efficiency, reducing energy consumption, and maintaining competitiveness in today's refining industry. This course provides participants with practical knowledge of refinery yield optimization, advanced process control, energy management, process simulation, and digital technologies that support operational excellence and sustainable refinery performance.

What you will achieve

Learning objectives

  • Understand the factors affecting refinery process yields and product recovery
  • Apply advanced process control techniques to optimize refinery operations
  • Improve energy efficiency across major refining processes
  • Utilize process simulation tools to evaluate and optimize refinery performance
  • Apply digital technologies to enhance operational decision-making
  • Identify opportunities for continuous process improvement and yield enhancement
  • Develop integrated refinery optimization strategies

Who should attend

Target audience

  • Process engineers
  • Refinery operations engineers
  • Production engineers
  • Process control engineers
  • Refinery supervisors and managers
  • Energy optimization specialists
  • Oil and gas professionals involved in refinery operations
  • Target Competencies

Methodology

Learning approach

  • The course combines technical presentations, practical workshops, engineering case studies, simulation exercises, group discussions, refinery performance analysis, and real-world optimization scenarios.

Course content

Five focused days of learning and application

Day 1

Fundamentals of Refinery Yield Optimization

  1. Understanding refinery process configurations and product yield relationships
  2. Reviewing major refining units and their contribution to product distribution
  3. Evaluating the influence of crude oil characteristics on refinery performance
  4. Understanding the impact of equipment design and operating conditions on process yields
  5. Coffee break
  6. Understanding the impact of equipment design and operating conditions on process yields (continued)
  7. Applying techniques to analyze refinery performance and identify operational constraints
  8. Identifying opportunities to improve product recovery and operational efficiency

Day 2

Advanced Process Control for Yield Improvement

  1. Understanding the role of advanced process control within refinery operations
  2. Reviewing distributed control systems and advanced optimization technologies
  3. Applying model predictive control techniques to optimize refinery processes in real time
  4. Improving process stability, product quality, and operating efficiency through automation
  5. Coffee break
  6. Improving process stability, product quality, and operating efficiency through automation (continued)
  7. Monitoring key process variables and performance indicators
  8. Reviewing practical case studies demonstrating yield improvements through advanced process control

Day 3

Energy Optimization in Refinery Operations

  1. Understanding the relationship between energy consumption and refinery profitability
  2. Identifying opportunities to reduce energy usage across major refining units
  3. Optimizing distillation, hydroprocessing, and conversion processes for improved efficiency
  4. Applying heat integration principles and energy recovery strategies
  5. Coffee break
  6. Applying heat integration principles and energy recovery strategies (continued)
  7. Evaluating utility system performance and waste heat recovery opportunities
  8. Developing energy management strategies that support operational excellence and sustainability

Day 4

Process Simulation and Refinery Performance Modeling

  1. Understanding the role of process simulation in refinery optimization and decision-making
  2. Applying simulation tools to evaluate refinery operating scenarios and process alternatives
  3. Developing process models for major refinery units and integrated operations
  4. Coffee break
  5. Developing process models for major refinery units and integrated operations (continued)
  6. Predicting operational performance through scenario analysis and sensitivity evaluation
  7. Identifying optimization opportunities using engineering models and simulation results
  8. Practical workshop: Refinery process modeling and performance optimization exercises

Day 5

Digital Refinery Technologies and Future Optimization Strategies

  1. Exploring the application of artificial intelligence and machine learning in refinery optimization
  2. Understanding digital twins and their role in operational monitoring and predictive optimization
  3. Applying advanced analytics to improve refinery performance and product yields
  4. Coffee break
  5. Reviewing emerging technologies supporting digital transformation within refining operations
  6. Evaluating innovation-driven case studies demonstrating operational improvements
  7. Final workshop: Developing an integrated refinery yield optimization roadmap combining process control, simulation, energy management, and digital technologies

FAQ

Frequently asked questions

What does Advanced Refinery Process Yields Optimization (OG-023) cover?

This course covers Oil and Gas through a structured five-day outline focused on practical application, discussion, and implementation planning.

When is the next available session?

The next scheduled session starts on 18 - 22 January 2027. See the course schedules section for the available dates and delivery formats.

Who should attend this course?

Process engineers, Refinery operations engineers, Production engineers

Is bilingual course delivery available?

Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.

How can I register for a session?

Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.

Is this course available online as well as classroom-based?

Check the course schedules section for currently published classroom and Online / Live sessions.

Where are classroom sessions delivered?

Current classroom venues include Amsterdam, London, Istanbul, Vienna, Barcelona, Paris, Frankfurt.

How long is the training programme?

The programme runs for five days, with up to five training hours per day, from 9:00 AM to 2:00 PM. Each programme includes a total of 25 training hours.