Refinery Operations and Performance Improvement Training Course

Refinery Operations and Performance Improvement Training Course

Introduction

Refinery Operations and Performance Improvement Training Course is designed to equip oil and gas professionals with advanced technical knowledge, operational strategies, and practical skills required to optimize refinery performance, improve process efficiency, enhance equipment reliability, and maximize profitability. This comprehensive training course explores key aspects of refinery process optimization, crude oil distillation, catalytic cracking, hydroprocessing, process control, energy efficiency, predictive maintenance, production planning, and operational risk management. Participants will learn how to evaluate refinery performance indicators, identify operational bottlenecks, reduce unplanned downtime, minimize energy consumption, and improve product quality while maintaining high standards of process safety and environmental compliance.

Through real-world case studies, interactive discussions, technical exercises, and scenario-based learning, participants will develop the ability to diagnose operational inefficiencies, implement corrective actions, optimize process units, and establish effective performance monitoring systems. The training also addresses strategies for improving throughput, increasing yield of high-value products, reducing operating expenditure (OPEX), managing maintenance activities, and strengthening coordination between operations, engineering, maintenance, and management teams. By integrating lean operational practices, continuous improvement methodologies, reliability-centered maintenance, and digital analytics, this course enables organizations to achieve higher refinery utilization, improved operational reliability, lower production costs, enhanced profitability, and long-term operational excellence in a competitive global energy market.

Course Duration

5 days

Course Objectives

By the end of this training course, participants will be able to:

1. Optimize refinery operations by applying industry best practices for process efficiency, production stability, and operational excellence.
2. Evaluate refinery performance using key performance indicators (KPIs), operational benchmarks, and performance management systems.
3. Improve crude oil processing efficiency through crude distillation optimization and effective feedstock management.
4. Identify process bottlenecks and implement refinery throughput optimization strategies to maximize production capacity.
5. Apply advanced principles of process control and automation to improve operational stability and product consistency.
6. Develop strategies for energy efficiency optimization to reduce fuel consumption, operating costs, and carbon emissions.
7. Strengthen equipment reliability through predictive maintenance, condition monitoring, and reliability-centered maintenance (RCM).
8. Enhance product yield and profitability through refinery yield optimization and effective process-unit integration.
9. Implement digital refinery technologies, industrial IoT, and real-time data analytics to support operational decision-making.
10. Improve process safety through operational risk assessment, hazard identification, and management of change (MOC).
11. Apply lean operations and continuous improvement methodologies to eliminate waste and improve resource utilization.
12. Strengthen environmental performance through emissions reduction, wastewater management, and sustainable refinery practices.
13. Develop actionable refinery performance improvement plans incorporating cost optimization, reliability enhancement, and measurable operational targets.

Target Audience

1. Refinery operations managers and plant managers.
2. Process engineers and chemical engineers.
3. Production supervisors and shift supervisors.
4. Maintenance and reliability engineers.
5. Process control and instrumentation engineers.
6. Refinery performance improvement and operational excellence specialists.
7. Health, safety, and environmental (HSE) professionals.
8. Oil and gas executives, technical consultants, and energy-sector project managers.

Course Modules

Module 1: Fundamentals of Refinery Operations and Operational Excellence

• Overview of modern refinery configurations and processing technologies.
• Understanding refinery process flow diagrams (PFDs) and piping and instrumentation diagrams (P&IDs).
• Key operating principles of atmospheric and vacuum distillation units.
• Refinery operational excellence frameworks and performance benchmarks.
• Coordination between operations, maintenance, engineering, and production planning.
• Case Study: Evaluating the operational performance of a conventional refinery and identifying opportunities to improve throughput, reduce operating costs, and strengthen coordination between processing units.

Module 2: Refinery Process Optimization and Throughput Improvement

• Techniques for optimizing crude distillation unit (CDU) performance.
• Process bottleneck identification and constraint management.
• Feedstock quality assessment and crude blend optimization.
• Improving heat integration and process-unit efficiency.
• Strategies for increasing refinery utilization and production capacity.
• Case Study: A refinery experiences reduced throughput because of distillation-column constraints and feed variability

Module 3: Advanced Process Control and Automation

• Principles of distributed control systems (DCS) and supervisory control.
• Applications of advanced process control (APC) in refinery operations.
• Process-variable monitoring and operating-envelope management.
• Alarm management, control-loop tuning, and process stability.
• Integrating real-time operational data into performance improvement initiatives.
• Case Study: A refinery experiences fluctuating product specifications and excessive energy consumption.

Module 4: Energy Efficiency and Sustainable Refining

• Refinery energy balances and energy performance indicators.
• Furnace and boiler efficiency improvement techniques.
• Heat exchanger performance monitoring and fouling management.
• Waste heat recovery and process heat integration.
• Carbon emissions reduction and energy management best practices.
• Case Study: A refinery faces rising fuel gas consumption and increasing carbon intensity. 

Module 5: Equipment Reliability and Predictive Maintenance

• Reliability-centered maintenance (RCM) principles and implementation.
• Predictive maintenance using vibration analysis, thermography, and oil analysis.
• Equipment condition monitoring and failure pattern identification.
• Root cause analysis (RCA) and preventive maintenance optimization.
• Improving asset availability, maintenance planning, and turnaround execution.
• Case Study: Repeated failures of critical refinery pumps cause production interruptions.

Module 6: Refinery Yield Optimization and Product Quality Management

• Understanding refinery product yields and conversion performance.
• Optimizing fluid catalytic cracking (FCC) and hydroprocessing operations.
• Managing product specifications and process variability.
• Improving high-value product recovery and reducing off-spec production.
• Evaluating the economic impact of crude selection and refinery operating conditions.
• Case Study: A refinery records declining gasoline yield and increased off-spec products. 

Module 7: Digital Refinery, Data Analytics, and Performance Monitoring

• Applications of industrial Internet of Things (IIoT) in refinery operations.
• Real-time data analytics for operational performance management.
• Digital twins and predictive models for refinery process optimization.
• Dashboard development and KPI-based performance tracking.
• Artificial intelligence (AI) applications in equipment monitoring and operational decision support.
• Case Study: A refinery uses disconnected operational reports and experiences delays in identifying process inefficiencies. 

Module 8: Process Safety, Risk Management, and Continuous Improvement

• Process hazard analysis (PHA), HAZOP, and operational risk assessment.
• Permit-to-work systems and safe operating procedures.
• Management of change (MOC) and operational integrity.
• Lean operations, Six Sigma, and continuous improvement techniques.
• Developing refinery performance improvement plans and measuring implementation results.
• Case Study: Following repeated equipment trips and a near-miss incident, a refinery initiates an operational improvement program. 

Training Methodology

• Interactive lectures and presentations.
• Group discussions and brainstorming sessions.
• Hands-on exercises using real-world datasets.
• Role-playing and scenario-based simulations.
• Analysis of case studies to bridge theory and practice.
• Peer-to-peer learning and networking.
• Expert-led Q&A sessions.
• Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.