Key research themes
1. How can dynamic modeling methods improve hazard and operability risk assessment in chemical industrial areas?
This research area focuses on advancing dynamic models to better understand the spatial-temporal evolution and interaction of multiple hazards—such as fire, vapor cloud explosions (VCE), and toxic releases—in congested chemical industrial settings where domino effects frequently amplify risks. The goal is to improve vulnerability assessments and risk management strategies by integrating uncertainty quantification in multi-hazard scenarios.
2. What comparative strengths do different hazard analysis techniques offer for operability and safety in oil and gas industry processes?
This theme investigates the application, effectiveness, and adaptability of various qualitative and quantitative hazard analysis methods—including HAZOP, FMEA, and Fault Tree Analysis—in identifying, evaluating, and mitigating risks within oil and gas processing and refining operations. Emphasis lies on using these techniques to systematically detect deviations, potential accidents, and root causes to enhance industrial safety and environmental protection.
3. How do statistical and probabilistic models address challenges related to hazard data complexity, especially with missing or uncertain failure types?
This research theme explores statistical and parametric modeling approaches to analyze hazard and failure data when there is incomplete information about failure causes or competing risks, a common issue in reliability and safety assessments. It focuses on parametric maximum likelihood estimation, handling missing failure type data, and modeling complex hazard patterns to improve failure cause attribution and risk quantification.