Artificial Intelligence (AI)

Participants will learn how to apply AI in process design, chemical engineering, and​ process safety studies.​

They will develop AI skills in calculations, equipment sizing, control schemes, and​ documentation support.​

The course builds AI competence in HAZOP, LOPA, and safety instrumented system​ development with AI assistance.​

By the end, participants can integrate AI into engineering workflows while ensuring​ validation against standards.​

Day 1–Integration, Validation & Case Studies with AI​

Module 1: Data Handling & Integration​

1. Extracting data from P&Ids, PFS, Datasheets, DCS Trend-& Alarm logs and graphs​
2. Creating engineering reports and documentation​
3. Using AIfor knowledge management and literature search​
4. Cross-checking results against standards (API, ASME, IEC, NFPA)​

Module 2: Practical Case Studieswith AI​

1. Use of Bluebeam MAX + Claude integration for Dataminingof P&IDs (PFD)​
2. Ammonia storage & handling –HAZOP + C&E diagrams​
3. Distillation column (propylene–propane splitter) –control & safety integration​
4. Hydrogen-to-Methanol process –conceptual design study

DAY 2 – Introduction to AI in Process- & Chemical Engineering​

Module 3: Introduction toAI in Process Engineering​

1. Role of AI-powered tools in Chemical Engineering & Process Safety​
2. Overview ofAIcapabilities, limitations, and reliability checks​
3. Integrating AIwith engineering workflows (simulation tools; HYSYS, UNISIM)​
4. Importing Process Flow Schemes and P&ID in AI​

Module 4: Process Design Fundamentals with AI​

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 AIto draft a Heat & Material Balance for a Distillation column case study​

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Day 3 – Advanced Process Design Applications with AI​

Module 5: Process Control & Automationwith AI​

• Control loop narratives (flow, pressure, temperature, level control)​
• P&ID development support and tag generation​
• Control valve sizing and pump minimum flow protection​
• AI as Copilot for Dynamic Simulations in UNISIM/HYSYS​

Module 6: Specialised Chemical Engineering Applicationswith AI​

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: AI drafting a process control scheme for a Distillation column case study
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Day 4–AI in Process Safety and HAZOP & LOPA​

Module 7: Process Safety Applications with AI​

1. HAZOP support: deviations, causes, consequences, safeguards​
2. LOPA facilitation: independent protection layers, SIL assignment​
3. Cause & Effect diagrams (C&E) development​
4. Safety Instrumented System (SIS) narratives & IEC-61511 SRS drafting​

Module 8: Hazard Identification & Risk Assessment with AI​

1. Checking spec. Breaks on P&ID and PSV scenarios​
2. Overpressure Scenarios for HAZOP Studies​
3. Explosion, fire, toxic release scenarios (HAZID/HAZOP integration)​
4. HAZOP & LOPA pre-analysis with AI assistance​

Workshop: Facilitating a mini-HAZOP with AI(Hydrogen electrolyzer case study) electrolyser​