DocumentCode
3589257
Title
Acceleration methods for Monte Carlo simulation of rare events
Author
Estecahandy, Maider ; Bordes, Laurent ; Collas, Stephane ; Paroissin, Christian
Author_Institution
TOTAL, Pau, France
fYear
2015
Firstpage
1
Lastpage
6
Abstract
In the oil and gas industry, obtaining accurate reliability estimators on safety barriers is an important issue that can lead to very long computing times. To address this issue, we propose an extension of a truncation method and we introduce a new computational technique called Dissociation method. Through different numerical examples, we observe a significant improvement of the results obtained on simple Petri net models when applying these Monte Carlo acceleration methods.
Keywords
Monte Carlo methods; Petri nets; gas industry; petroleum industry; simulation; Monte Carlo acceleration methods; Monte Carlo simulation; Petri net models; dissociation method; eliability estimators; gas industry; oil industry; rare events; safety barriers; truncation method; Acceleration; Computational modeling; Maintenance engineering; Mathematical model; Monte Carlo methods; Phase frequency detector; Reliability; Fast Monte Carlo simulation method; MCT; Petri Nets; Reliability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Reliability and Maintainability Symposium (RAMS), 2015 Annual
Print_ISBN
978-1-4799-6702-5
Type
conf
DOI
10.1109/RAMS.2015.7105098
Filename
7105098
Link To Document