Piecewise Deterministic Markov Processes based approach applied to an offshore oil production system
This paper is keeping with the topic of two papers which treated dynamic reliability problems and were presented in previous conferences. Its aim is to confirm the potentialities of a method which combines the high modeling ability of the piecewise deterministic processes and the great computing pow...
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| Veröffentlicht in: | Reliability engineering & system safety 2014-06, Vol.126, p.126-134 |
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| container_title | Reliability engineering & system safety |
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| creator | Zhang, Huilong Innal, Fares Dufour, François Dutuit, Yves |
| description | This paper is keeping with the topic of two papers which treated dynamic reliability problems and were presented in previous conferences. Its aim is to confirm the potentialities of a method which combines the high modeling ability of the piecewise deterministic processes and the great computing power inherent to the Monte Carlo simulation. This method is now applied to a simplified but realistic offshore oil production system which is a hybrid system combining continuous-time and discrete-time dynamics. The results thus obtained have been compared with those given by an ad hoc Petri net model for comparison and validation purposes. |
| doi_str_mv | 10.1016/j.ress.2014.01.016 |
| format | Article |
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Its aim is to confirm the potentialities of a method which combines the high modeling ability of the piecewise deterministic processes and the great computing power inherent to the Monte Carlo simulation. This method is now applied to a simplified but realistic offshore oil production system which is a hybrid system combining continuous-time and discrete-time dynamics. 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Management science ; Outsourcing ; Petri nets ; Piecewise Deterministic Markov Processes (PDMP) ; Probability ; Probability and statistics ; Probability theory and stochastic processes ; Prospecting and production of crude oil, natural gas, oil shales and tar sands ; Reliability theory. 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Its aim is to confirm the potentialities of a method which combines the high modeling ability of the piecewise deterministic processes and the great computing power inherent to the Monte Carlo simulation. This method is now applied to a simplified but realistic offshore oil production system which is a hybrid system combining continuous-time and discrete-time dynamics. 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Management science</subject><subject>Outsourcing</subject><subject>Petri nets</subject><subject>Piecewise Deterministic Markov Processes (PDMP)</subject><subject>Probability</subject><subject>Probability and statistics</subject><subject>Probability theory and stochastic processes</subject><subject>Prospecting and production of crude oil, natural gas, oil shales and tar sands</subject><subject>Reliability theory. 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| identifier | ISSN: 0951-8320 |
| ispartof | Reliability engineering & system safety, 2014-06, Vol.126, p.126-134 |
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| language | eng |
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| source | Elsevier ScienceDirect Journals |
| subjects | Applied sciences Computer simulation Conferences Crude oil, natural gas and petroleum products Dynamic reliability Dynamical systems Dynamics Energy Exact sciences and technology Fuels Hybrid systems Markov processes Mathematics Monte Carlo methods Offshore drilling and production Operational research and scientific management Operational research. Management science Outsourcing Petri nets Piecewise Deterministic Markov Processes (PDMP) Probability Probability and statistics Probability theory and stochastic processes Prospecting and production of crude oil, natural gas, oil shales and tar sands Reliability theory. Replacement problems Sciences and techniques of general use Subsea oil production system |
| title | Piecewise Deterministic Markov Processes based approach applied to an offshore oil production system |
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