Risk-based maintenance of offshore managed pressure drilling (MPD) operation

Gallant Pui, Jyoti Bhandari, Ehsan Arzaghi, Rouzbeh Abbassi, Vikram Garaniya

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)

Abstract

Offshore drilling operations may not be safe nor available if they are not well maintained. Dynamic risk-based maintenance (RBM) methodology is a tool for scheduling maintenance plans based on an acceptable level of risk. It is applied to improve the safety and reliability of systems assisting in identifying and prioritizing the maintenance of critical components. This paper proposes an advanced RBM methodology for the design of optimum maintenance programs. Bayesian Networks (BNs) are employed to develop the dynamic RBM models that are capable of using accident precursor information in order to update the risk profile. The developed methodology is applied to a case study of an offshore MPD operation considering two critical systems: rotating control device (RCD) and blowout preventer (BOP). The obtained results show that the minimal length of maintenance intervals for a RCD valve was 18 days while being 23 days for the BOP valve. Sensitivity analysis is also conducted to evaluate the contribution percentage of each component to the system failure. The sealing elements for both RCD and BOP systems require additional attentions since they were determined as the most critical components in the BN model.
Original languageEnglish
Pages (from-to)513-521
Number of pages9
JournalJournal of Petroleum Science and Engineering
Volume159
DOIs
Publication statusPublished - Nov 2017
Externally publishedYes

Keywords

  • managed pressure drilling
  • dynamic risk-based maintenance
  • Bayesian network
  • kick
  • blowout
  • rotating control device
  • blowout preventer

Fingerprint Dive into the research topics of 'Risk-based maintenance of offshore managed pressure drilling (MPD) operation'. Together they form a unique fingerprint.

Cite this