Risk Modeling in Process Industries by Stochastic Petri Nets
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86091977" target="_blank" >RIV/61989100:27240/14:86091977 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/14:86091977
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-07401-6_32" target="_blank" >http://dx.doi.org/10.1007/978-3-319-07401-6_32</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-07401-6_32" target="_blank" >10.1007/978-3-319-07401-6_32</a>
Alternative languages
Result language
angličtina
Original language name
Risk Modeling in Process Industries by Stochastic Petri Nets
Original language description
Modeling the risk to safety of personnel in offshore industry is often realized by the application of Event Trees. The risk is then defined as a product of event frequency and its consequences. However, steady-state methods like Event Trees are not suitable for modeling time-dependent probability of fatality based on time-dependent events. This article presents a new possible approach to modeling the risk to safety of personnel by Stochastic Petri nets (SPN). Stochastic Petri nets models for small leak occurrence on an offshore platform is shown, based on a realistic example from the offshore industry. The probabilities of fatalities were obtained from the simulation by using the Moca-RP software and compared to probabilities obtained by Event Trees and direct Monte Carlo simulation methods.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Nostradamus 2014: prediction, modeling and analysis of complex systems
ISBN
978-3-319-07400-9
ISSN
2194-5357
e-ISSN
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Number of pages
10
Pages from-to
327-336
Publisher name
Springer
Place of publication
London
Event location
Ostrava
Event date
Jun 23, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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