Article | Proceedings of the 10<sup>th</sup> International Modelica Conference; March 10-12; 2014; Lund; Sweden | On the Simulation of Offshore Oil Facilities at the System Level
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Title:
On the Simulation of Offshore Oil Facilities at the System Level
Author:
Joris Costes: Eurobios SCB, Gentilly, France Jean-Michel Ghidaglia: CMLA, ENS Cachan, UMR 8536 CNRS, Cachan cedex, France Philippe Muguerra: Eni Saipem, Montigny-le-Bretonneux, France Keld Lund Nielsen: Eni spa, Exploration & Production Division, San Donato Milanese (Mi), Italy Xavier Riou: Eni Saipem, Montigny-le-Bretonneux, France Jean-Philippe Saut: Eurobios SCB, Gentilly, France Nicolas Vayatis: CMLA, ENS Cachan, UMR 8536 CNRS, Cachan cedex, France
DOI:
10.3384/ecp14096799
Download:
Full text (pdf)
Year:
2014
Conference:
Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden
Issue:
096
Article no.:
083
Pages:
799-808
No. of pages:
10
Publication type:
Abstract and Fulltext
Published:
2014-03-10
ISBN:
978-91-7519-380-9
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


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Offshore oil facilities are complex systems that involve elaborate physics combined with stochastic aspects related; for instance; to failure risk or price variation. Although there exist many dedicated software tools to simulate flows typically encountered in oil exploitations; there is still no tool that combines physical (mostly engineering fluid mechanics) and risk simulation. Such a tool could be useful to engineers or decision makers for specification; design and study of offshore oil facilities. We present a first step towards the creation of such a tool. Our current simulator is based on new Modelica components to simulate fluid flows and on stochastic simulation at a higher level; for modeling risk and costs. Modelica components implement physical models for single and two-phase flows in some typical devices of an offshore field. The risk simulation uses Markov chains and statistical indicators to assess performance and resilience of the system over several months or years of operation.

Keywords: fluid flow; two-phase flow; risk estimation; Monte Carlo simulation

Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden

Author:
Joris Costes, Jean-Michel Ghidaglia, Philippe Muguerra, Keld Lund Nielsen, Xavier Riou, Jean-Philippe Saut, Nicolas Vayatis
Title:
On the Simulation of Offshore Oil Facilities at the System Level
DOI:
http://dx.doi.org/10.3384/ecp14096799
References:

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Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden

Author:
Joris Costes, Jean-Michel Ghidaglia, Philippe Muguerra, Keld Lund Nielsen, Xavier Riou, Jean-Philippe Saut, Nicolas Vayatis
Title:
On the Simulation of Offshore Oil Facilities at the System Level
DOI:
http://dx.doi.org/10.3384/ecp14096799
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