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Generative Artificial Intelligence (GenAI)-driven method for hazard scenario generation in chemical process systems
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DOI：10.1016/j.psep.2026.108977.png)
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Abstract
En 中文
Accurate and comprehensive hazard scenario generation is the first step in quantitative risk analysis (QRA). Traditional approaches to scenario generation rely heavily on subject matter experts, making the process time-consuming and labor-intensive. Besides, scenarios are generally presented in a descriptive form, which is useful but offers limited insights into how they unfold within process systems. This work introduces a novel framework combining generative artificial intelligence (Gen-AI) and human knowledge to address these gaps. First, new scenarios are automatically generated using process flow diagrams (PFDs) and predefined scenarios through a combined graph isomorphism network (GIN) and a transformer-based sequence decoder. Human experts then verify the generated scenarios. Thus, the proposed framework can make the scenario-generation process more exhaustive, faster, and more reliable. Two case studies have been demonstrated using U.S. Chemical Safety Board (CSB) reports. Results suggest that the proposed method can improve the robustness of current hazard identification and scenario generation practices.
Keywords:
AI
Artificial Intelligence
BLEU
Bilingual Evaluation Understudy
BLEVE
Boiling Liquid Expanding Vapor Explosion
BN
Bayesian Network
BT
Bowtie Analysis
CHRF
Character n-gram F-score
EOS
End of Sequence
ETA
Event Tree Analysis
FTA
Fault Tree Analysis
FFN
Feed Forward Network
Gen-AI
Generative Artificial Intelligence
GIN
Graph Isomorphism Network
GINConv
Graph Isomorphism Network Convolution
GPT
Generative Pre-trained Transformer
HAZOP
Hazard and Operability Study
MLP
Multi-Layer Perceptron
NLP
Natural Language Processing
OPA
Ordinal Priority Approach
P&ID
Piping and Instrumentation Diagram
PFD
Process Flow Diagram
PDA
Propane Deasphalting
QRA
Quantitative Risk Analysis
ROUGE
Recall-Oriented Understudy for Gisting Evaluation
SFILES
Self-Referencing Embedded Strings
T5
Text-to-Text Transfer Transformer
VCE
Vapor Cloud Explosion
Hazard scenario generation
risk analysis
graph neural network
transformer
generative artificial intelligence
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