Dynamic Procedure for Atypical Scenarios Identification (DyPASI): A new systematic HAZID tool

Process hazard analysis, hazard identification and scenario definition: Are the conventional tools sufficient, or should and can we do much better?

“…In this context also the concept of DyPASI (Dynamic Procedure for Atypical Scenarios Identification) shall be mentioned as developed by Paltrinieri et al (2012) with results shown in bowtie diagrams. By applying a similarity algorithm Paltrinieri et al (2013) showed how accident data bases can be more effectively searched for possible hazard scenarios given a process with its materials, conditions, and dimensions. With the developing abundance of data, and with methods such as data and text mining, effective search will become much more common.…”

Introducing ASIL inspired dynamic tactical safety decision framework for automated vehicles

“…An incident or a near-miss scenario represents a breach of a safety mechanism and needs to be captured as it will influence failure probabilities. Such events have been mentioned in the chemical process industry literature as Accident Sequence Precursors (ASP) [18]. This is evident from the study of the BP Texas city refinery accident, where detection of near-misses, coupled with a dynamic approach to update risk assessment could have prevented the accident [10].…”

“…DyPASI is a hazard identification process and improves the completeness of the hazards by identifying worst case scenarios [16], [18]. Other DRA approaches used in chemical process industry include using a risk barometer [16].…”

Safety study of an LNG regasification plant using an FMECA and HAZOP integrated methodology

“…This improved version of the MIMAH methodology was used by Paltrinieri et al (2013aPaltrinieri et al ( , 2013b who proposed a dynamic procedure for atypical scenarios identification (DyPASI) method aimed at the systematisation of the information obtained from risks related to past accident events, near misses and risk studies. The DyPASI methodology was utilised to mitigate the deficiencies of the current HAZID techniques in the identification of unexpected potential hazards related to atypical scenarios and the integration of the recommendations from past atypical accidents.…”