Introduction

Separation processes form the backbone of modern chemical, petrochemical, pharmaceutical, oil & gas, and environmental engineering industries. The ability to efficiently design, model, and optimize separation units such as distillation columns, absorption towers, extraction systems, membranes, and crystallizers is critical for achieving high process efficiency, energy optimization, sustainability, and cost reduction. Separation Process Simulation Training Course is designed to equip engineers, technologists, and researchers with advanced skills in process modeling, dynamic simulation, thermodynamic property analysis, and digital twin integration using leading process simulation tools.

With the growing demand for Industry 4.0, AI-driven process optimization, carbon footprint reduction, and energy-efficient separation technologies, simulation has become an essential engineering competency. Participants will gain hands-on expertise in building robust simulation models, troubleshooting process bottlenecks, performing sensitivity analysis, and optimizing separation performance under real industrial conditions. The course emphasizes real-world industrial case studies, plant-based scenarios, and simulation-driven decision-making, ensuring learners can translate theoretical knowledge into practical engineering solutions across upstream and downstream operations.

Programme Curriculum

Separation Process Simulation Training Course

Introduction

Course Duration

5 days

Course Objectives

Master process simulation fundamentals for separation systems
Apply thermodynamic modeling and property package selection
Design and optimize distillation column simulation models
Perform multiphase separation and flash calculations
Develop skills in gas-liquid absorption and stripping simulation
Optimize liquid-liquid extraction processes using simulation tools
Understand membrane separation and hybrid systems modeling
Implement energy-efficient separation and heat integration techniques
Conduct process sensitivity and what-if analysis in simulation environments
Build steady-state and dynamic simulation models for industrial systems
Apply process optimization techniques for CAPEX and OPEX reduction
Integrate digital twin concepts in separation process systems
Enhance decision-making using AI-assisted process simulation analytics

Target Audience

Chemical Engineers
Process Engineers in Oil & Gas industry
Petrochemical Plant Operators and Technologists
Refinery Engineers and Production Supervisors
Research Scientists in Separation Technology
Graduate Students in Chemical / Process Engineering
Environmental Engineers working on water and gas treatment
Simulation and Process Optimization Consultants

Course Modules

Module 1: Fundamentals of Separation Processes Simulation

Overview of separation technologies
Introduction to process simulation environments
Flow sheeting concepts and simulation workflow
Steady-state vs dynamic simulation
Case study: Crude oil pre-fractionation unit modeling

Module 2: Thermodynamics & Property Package Selection

Equations of state
Activity coefficient models
Phase equilibrium fundamentals
Property estimation and validation techniques
Case study: LNG cryogenic separation modeling

Module 3: Distillation Column Design & Simulation

Tray vs packed column modeling
Reflux ratio optimization
Column convergence and troubleshooting
Energy integration in distillation systems
Case study: Ethanol-water azeotropic separation plant

Module 4: Gas Absorption & Stripping Systems

Absorber column design principles
Mass transfer modeling and efficiency analysis
Solvent selection criteria
Stripping gas optimization
Case study: CO₂ removal from natural gas streams

Module 5: Liquid-Liquid Extraction Systems

Solvent extraction fundamentals
Distribution coefficient analysis
Stage-wise extraction modeling
Mixer-settler and column extractors
Case study: Aromatics extraction in petrochemical refinery

Module 6: Membrane & Advanced Separation Technologies

Membrane separation principles
Hybrid separation systems
Permeability and selectivity modeling
Fouling and performance degradation analysis
Case study: Seawater desalination plant optimization

Module 7: Dynamic Simulation & Process Control

Time-dependent process modeling
Control strategies for separation units
Startup and shutdown simulation
Disturbance and stability analysis
Case study: Distillation column control in refinery operations

Module 8: Process Optimization & Digital Twin Integration

Energy optimization techniques
Pinch analysis integration
AI-assisted process simulation
Digital twin modeling for separation units
Case study: Smart refinery separation network optimization

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

Vapor-liquid equilibrium Column modeling Mass transfer Process optimization

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

Sep 21 2026

21 Sep — 25 Sep 2026

💻 Online / Virtual session

Online $1,000