A new look at release event frequencies

Within the context of a quantitative risk analysis (QRA), the two main constituents used to describe petrochemical risks are, and have always been, consequence and probability. The consequences of hazardous material accidents are easy to apprehend – if a hazard is realized it can injure people or ca...

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Bibliographic Details
Main Authors: Ishii, B.R (Author), Marx, J.D (Author)
Format: Article
Language:English
Published: Elsevier Ltd 2021
Subjects:
QRA
Online Access:View Fulltext in Publisher
LEADER 02471nam a2200361Ia 4500
001 10.1016-j.jlp.2020.104368
008 220427s2021 CNT 000 0 und d
020 |a 09504230 (ISSN) 
245 1 0 |a A new look at release event frequencies 
260 0 |b Elsevier Ltd  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1016/j.jlp.2020.104368 
520 3 |a Within the context of a quantitative risk analysis (QRA), the two main constituents used to describe petrochemical risks are, and have always been, consequence and probability. The consequences of hazardous material accidents are easy to apprehend – if a hazard is realized it can injure people or cause fatalities, damage equipment or other assets, or cause environmental damage. Frequencies for these consequences, on the other hand, are not as easy to understand. Process safety professionals develop event frequencies by evaluating historical data and calculating incident rates, which represent, in the QRA context, how often a release of a hazardous material has occurred. Incident rates are further modified by probabilities for various hole sizes, release orientations, weather conditions, ignition timing, and other factors, to arrive at unique event probabilities that are applied in the QRA. This paper describes the development of incident rates from historical database information for various equipment types, as well as defining a methodology for assigning hole size probabilities from the same data, such that a hole size distribution can be assigned within each QRA study. The combination of total incident rates and a hole size distribution relationship can then serve as a foundation within the frequency side of many QRA studies. © 2020 Elsevier Ltd 
650 0 4 |a Distributed database systems 
650 0 4 |a Environmental damage 
650 0 4 |a Event probability 
650 0 4 |a Frequency 
650 0 4 |a Hazardous material accidents 
650 0 4 |a Hazardous materials 
650 0 4 |a Hazards 
650 0 4 |a Historical data 
650 0 4 |a Historical database 
650 0 4 |a Hole size distribution 
650 0 4 |a Ignition timing 
650 0 4 |a Probability 
650 0 4 |a QRA 
650 0 4 |a Quantitative risk analysis 
650 0 4 |a Quantitative risk analysis 
650 0 4 |a Risk analysis 
650 0 4 |a Risk assessment 
650 0 4 |a Size distribution 
700 1 |a Ishii, B.R.  |e author 
700 1 |a Marx, J.D.  |e author 
773 |t Journal of Loss Prevention in the Process Industries