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Application of Monte Carlo Simulation for the Estimation of Production Availability in Offshore Installations

In: Simulation Methods for Reliability and Availability of Complex Systems

Author

Listed:
  • Kwang Pil Chang

    (Hyundai Heavy Industries)

  • Daejun Chang

    (Korea Advanced Institute of Science and Technology)

  • Enrico Zio

    (Politecnico di Milano)

Abstract

The purpose of this chapter is to show the practical application of the Monte Carlo simulation method in the evaluation of the production availability of offshore facilities, accounting for realistic aspects of system behavior. A Monte Carlo simulation model is developed for a case study to demonstrate the effect of maintenance strategies on the production availability, e.g., by comparing the system performance under different preventive maintenance tasks.

Suggested Citation

  • Kwang Pil Chang & Daejun Chang & Enrico Zio, 2010. "Application of Monte Carlo Simulation for the Estimation of Production Availability in Offshore Installations," Springer Series in Reliability Engineering, in: Javier Faulin & Angel A. Juan & Sebastián Martorell & José-Emmanuel Ramírez-Márquez (ed.), Simulation Methods for Reliability and Availability of Complex Systems, chapter 0, pages 233-252, Springer.
    • Handle: RePEc:spr:ssrchp:978-1-84882-213-9_11
    DOI: 10.1007/978-1-84882-213-9_11
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    Citations

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    Cited by:

    1. Noh, Yeelyong & Chang, Kwangpil & Seo, Yutaek & Chang, Daejun, 2014. "Risk-based determination of design pressure of LNG fuel storage tanks based on dynamic process simulation combined with Monte Carlo method," Reliability Engineering and System Safety, Elsevier, vol. 129(C), pages 76-82.
    2. Yi Yang & John Dalsgaard Sørensen, 2020. "Probabilistic Availability Analysis for Marine Energy Transfer Subsystem Using Bayesian Network," Energies, MDPI, vol. 13(19), pages 1-27, October.

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