Insights from Applying Association Rule Mining to Pipeline Incident Report Data
Publication: Computing in Civil Engineering 2023
ABSTRACT
Pipelines are the critical component of energy infrastructure for safely transporting large volumes of oil and hazardous materials over long distances. However, many incidents occurred over the years, leading to shutdowns, disruptions, and economic losses. The Pipeline and Hazardous Materials Safety Administration (PHMSA) maintains those incidents’ reports, constituting a valuable resource for better understanding the underlying associations between those incidents’ causes and shutdown durations. Most previous studies investigating incident databases are focused on bivariate statistical analyses between cause and effect variables, providing little to no insight into their associations. Also, little research has examined the level of disruptions caused by an incident. This study proposes a novel application of association rule mining to the PHMSA database to extract associations and insights between causal factors, background factors (e.g., materials), and their effects, particularly shutdown duration in this study. The results are expected to help improve pipeline infrastructure’s planning, design, and operations.
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Published online: Jan 25, 2024
ASCE Technical Topics:
- Computing in civil engineering
- Data collection
- Databases
- Disaster risk management
- Disasters and hazards
- Energy infrastructure
- Engineering fundamentals
- Hazardous substances
- Information Technology (IT)
- Infrastructure
- Lifeline systems
- Man-made disasters
- Methodology (by type)
- Oil pipelines
- Pipe materials
- Pipeline management
- Pipeline materials
- Pipeline systems
- Pipes
- Research methods (by type)
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