Using ChatGPT in Process Design, Chemical Engineering & Process Safety

Consultant/Trainer: Jan van Opstal

This Petrogenium 4-day course introduces engineers to the practical use of ChatGPT in process design, chemical engineering, and process safety. Participants will learn how to apply ChatGPT for calculations, simulations, and documentation in real engineering workflows. The training covers process design fundamentals, control strategies, HAZOP/LOPA facilitation, and safety studies. Hands-on workshops with case studies in hydrogen, ammonia, methanol, and SAF ensure direct industry relevance. By the end, participants will be equipped to integrate ChatGPT effectively while validating results against engineering standards.

Cost

Location

Kuala Lumpur, Malaysia

Dates

TBD

About the Trainer

Participants

  1. Process Engineers involved in process design, simulation, and optimization.
  2. Chemical Engineers working on equipment sizing, thermodynamics, and reaction engineering.
  3. Process Safety Engineers responsible for HAZOP, LOPA, C&E diagrams, and SIS/SRS development.
  4. Control & Automation Engineers working on P&IDs, control narratives, and process automation strategies.
  5. Project & Design Engineers in oil & gas, hydrogen, ammonia, methanol, and sustainable fuels projects.
  6. Engineering Managers & Consultants seeking productivity gains and standardization with ChatGPT.

Learning Objectives

Participants will learn how to apply ChatGPT in process design, chemical engineering, and process safety studies. They will develop skills in calculations, equipment sizing, control schemes, and documentation support. The course builds competence in HAZOP, LOPA, and safety instrumented system development with ChatGPT assistance. By the end, participants can integrate ChatGPT into engineering workflows while ensuring validation against standards.

Day 1

Module 1: Introduction to ChatGPT in Process Engineering

1.Role of ChatGPT-powered tools in Chemical Engineering & Process Safety

2.Overview of ChatGPT capabilities, limitations, and reliability checks

3.Integrating ChatGPT with engineering workflows (simulation tools; HYSYS, UNISIM)

4.Importing Process Flow Scheme and P&ID in ChatGPT

Module 2: Process Design Fundamentals with ChatGPT

1.Material & Energy Balances (H&MB generation support)

2.Stream property predictions (enthalpy, phase, compositions)

3.Equipment design calculations:

  • Heat exchangers (UA, LMTD, approach temperatures)
  • Pumps & compressors (pump curves, surge line, NPSH)
  • Distillation columns (McCabe-Thiele, shortcut distillation, tray efficiency)

Workshop: Using ChatGPT to draft a Heat & Material Balance for a Distillation column case study

 

Day 2

Module 3: Process Control & Automation

1.Control loop narratives (flow, pressure, temperature, level control)

2.P&ID development support and tag generation

3.Control valve sizing and pump minimum flow protection

4.ChatGPT as Copilot for Dynamic Simulations in UNISIM/HYSYS

Module 4: Specialised Chemical Engineering Applications

1.Reactor kinetics support (CSTR, PFR, catalytic reactors)

2.Thermodynamics (VLE, EOS, property methods)

3.Separation technologies: distillation, membrane, adsorption, and extraction

4.Process intensification concepts

Workshop: Drafting a process control scheme for a Distillation column case study

Programme

Day 1

Module 1: Introduction to ChatGPT in Process Engineering

1.Role of ChatGPT-powered tools in Chemical Engineering & Process Safety

2.Overview of ChatGPT capabilities, limitations, and reliability checks

3.Integrating ChatGPT with engineering workflows (simulation tools; HYSYS, UNISIM)

4.Importing Process Flow Scheme and P&ID in ChatGPT

Module 2: Process Design Fundamentals with ChatGPT

1.Material & Energy Balances (H&MB generation support)

2.Stream property predictions (enthalpy, phase, compositions)

3.Equipment design calculations:

  • Heat exchangers (UA, LMTD, approach temperatures)
  • Pumps & compressors (pump curves, surge line, NPSH)
  • Distillation columns (McCabe-Thiele, shortcut distillation, tray efficiency)

Workshop: Using ChatGPT to draft a Heat & Material Balance for a Distillation column case study

 

Day 2

Module 3: Process Control & Automation

1.Control loop narratives (flow, pressure, temperature, level control)

2.P&ID development support and tag generation

3.Control valve sizing and pump minimum flow protection

4.ChatGPT as Copilot for Dynamic Simulations in UNISIM/HYSYS

Module 4: Specialised Chemical Engineering Applications

1.Reactor kinetics support (CSTR, PFR, catalytic reactors)

2.Thermodynamics (VLE, EOS, property methods)

3.Separation technologies: distillation, membrane, adsorption, and extraction

4.Process intensification concepts

Workshop: Drafting a process control scheme for a Distillation column case study

REGISTRATION

Course name:Using ChatGPT in Process Design, Chemical Engineering & Process Safety
Course date:TBD
Delegate Details
Cancellations & Substitutions:

If you are unable to attend the course you can make a substitution. All substitutions and name changes must be received in writing by mail or e-mail no later than one week before the first course date. For cancellations received in writing after the course fee is paid and no later than 21 days before the course start date, Petrogenium will issue a credit note to be considered as a down payment for any Petrogenium courses during next 12 months. For cancellations received after 21 days before the course start date, the course material will be sent but no fees will be refunded.
Programme Changes:

The course content may be subject to changes due to unforeseen circumstances. Petrogenium reserves the right to change the venue and/or lecturers, and to cancel the course, notifying the registrant 30 days before the first course date. Petrogenium accepts no responsibility for any loss or damage to property belonging to, nor for any personal injury incurred by, attendees at our training courses, whether within the training course venue or otherwise.