Introduction

Modern industrial reactors are the heart of chemical, petrochemical, refining, pharmaceutical, polymer, and specialty chemical manufacturing operations. Achieving optimal reactor performance is critical for maximizing production throughput, improving product quality, reducing energy consumption, minimizing operational risks, and ensuring sustainable manufacturing practices. With increasing industry focus on Process Optimization, Digital Transformation, Advanced Process Control (APC), Predictive Analytics, Process Safety Management (PSM), Artificial Intelligence (AI), Industrial Internet of Things (IIoT), Energy Efficiency, Carbon Reduction, and Operational Excellence, professionals must possess advanced troubleshooting and optimization skills to maintain competitive operations.

Reactor Troubleshooting and Optimization Training Course equips participants with practical techniques to diagnose reactor performance issues, identify root causes of process deviations, optimize reaction kinetics, enhance catalyst performance, improve heat and mass transfer efficiency, and maximize plant profitability. Through real-world industrial case studies, simulation exercises, performance analysis, and best-practice methodologies, participants will develop expertise in solving complex reactor challenges while supporting reliability, sustainability, digitalization, and operational excellence initiatives.

Programme Curriculum

Reactor Troubleshooting and Optimization Training Course

Introduction

Course Duration

5 days

Course Objectives

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

Understand advanced reactor design principles and operational fundamentals.
Diagnose reactor performance bottlenecks using data-driven methodologies.
Apply Root Cause Analysis (RCA) for complex reactor failures.
Optimize reactor conversion, selectivity, and yield.
Improve catalyst performance and catalyst lifecycle management.
Utilize Digital Twin Technology for reactor performance monitoring.
Implement Artificial Intelligence (AI) and Machine Learning (ML) techniques in reactor optimization.
Enhance process safety through Process Safety Management (PSM) practices.
Apply Advanced Process Control (APC) strategies for stable reactor operation.
Optimize heat transfer and mass transfer performance.
Reduce energy consumption and support Net Zero operational goals.
Analyze reactor data using predictive analytics and industrial dashboards.
Develop sustainable and reliable reactor operation strategies for operational excellence.

Target Audience

Process Engineers
Chemical Engineers
Production Engineers
Operations Supervisors
Plant Managers
Process Control and Automation Engineers
Reliability and Maintenance Engineers
HSE and Process Safety Professionals

Course Modules

Module 1: Fundamentals of Reactor Systems

Reactor classifications and applications
Batch, CSTR, PFR, fluidized bed, and catalytic reactors
Reaction kinetics and reactor performance indicators
Heat and mass transfer fundamentals
Reactor operating envelopes
Case Study: Performance evaluation of a refinery hydroprocessing reactor.

Module 2: Reactor Performance Monitoring and Diagnostics

Key performance indicators (KPIs)
Online monitoring technologies
Process data collection and validation
Early detection of performance degradation
Performance benchmarking techniques
Case Study: Identification of declining conversion in an ammonia synthesis reactor.

Module 3: Advanced Reactor Troubleshooting Techniques

Systematic troubleshooting methodology
Root Cause Analysis (RCA)
Failure Modes and Effects Analysis (FMEA)
Problem-solving frameworks
Troubleshooting workflow development
Case Study: Unexpected reactor temperature runaway incident analysis.

Module 4: Catalyst Performance and Optimization

Catalyst fundamentals
Catalyst deactivation mechanisms
Catalyst regeneration techniques
Catalyst life-cycle optimization
Performance monitoring strategies
Case Study: Catalyst poisoning in a petrochemical reforming reactor.

Module 5: Process Optimization and Advanced Process Control

Process optimization methodologies
Advanced Process Control (APC)
Model Predictive Control (MPC)
Constraint management
Yield improvement techniques
Case Study: APC implementation improving polymer reactor productivity.

Module 6: Digital Transformation in Reactor Operations

Digital Twin applications
Industrial Internet of Things (IIoT)
Artificial Intelligence and Machine Learning
Predictive analytics tools
Smart manufacturing systems
Case Study: AI-based predictive monitoring for reactor fouling prevention.

Module 7: Process Safety and Risk Management

Process Safety Management (PSM)
Hazard and Operability Studies (HAZOP)
Layer of Protection Analysis (LOPA)
Thermal runaway prevention
Emergency response planning
Case Study: Investigation of a major reactor overpressure event.

Module 8: Sustainability and Operational Excellence

Energy efficiency optimization
Carbon footprint reduction strategies
Sustainability performance metrics
Asset performance management
Continuous improvement frameworks
Case Study: Energy optimization project delivering significant utility savings and emissions reduction.

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

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@fineskilltrainingcenter.org or call +254769199797

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 Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Performance diagnostics Flow analysis Reaction optimization Fault correction

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 26 2026

26 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $1,000