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Data driven approach to risk management and decision support for dynamic positioning systems

Author

Listed:
  • Parhizkar, Tarannom
  • Hogenboom, Sandra
  • Vinnem, Jan Erik
  • Utne, Ingrid Bouwer
Abstract
Offshore oil and gas operations are inherently associated with risk and may have catastrophic consequences to life, property, and environment. Risk management is thus performed during the design, planning, and operation phases to control risk. Operational risk models are only periodically updated and do not always reflect the available real-time data. This is also the case for dynamic positioning (DP) operation. Monitoring the risk levels of the system during the operational phase could reduce the accident risk by providing additional decision support information for operators.

Suggested Citation

  • Parhizkar, Tarannom & Hogenboom, Sandra & Vinnem, Jan Erik & Utne, Ingrid Bouwer, 2020. "Data driven approach to risk management and decision support for dynamic positioning systems," Reliability Engineering and System Safety, Elsevier, vol. 201(C).
    • Handle: RePEc:eee:reensy:v:201:y:2020:i:c:s0951832019307318
    DOI: 10.1016/j.ress.2020.106964
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    References listed on IDEAS

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    1. Hogenboom, Sandra & Rokseth, Børge & Vinnem, Jan Erik & Utne, Ingrid Bouwer, 2020. "Human reliability and the impact of control function allocation in the design of dynamic positioning systems," Reliability Engineering and System Safety, Elsevier, vol. 194(C).
    2. Groth, Katrina & Wang, Chengdong & Mosleh, Ali, 2010. "Hybrid causal methodology and software platform for probabilistic risk assessment and safety monitoring of socio-technical systems," Reliability Engineering and System Safety, Elsevier, vol. 95(12), pages 1276-1285.
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    Citations

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    Cited by:

    1. Hogenboom, Sandra & Parhizkar, Tarannom & Vinnem, Jan Erik, 2021. "Temporal decision-making factors in risk analyses of dynamic positioning operations," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    2. Liu, Cuiwei & Wang, Yazhen & Li, Xinhong & Li, Yuxing & Khan, Faisal & Cai, Baoping, 2021. "Quantitative assessment of leakage orifices within gas pipelines using a Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    3. Nejad, Hamed S. & Parhizkar, Tarannom & Mosleh, Ali, 2022. "Automatic generation of event sequence diagrams for guiding simulation based dynamic probabilistic risk assessment (SIMPRA) of complex systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    4. He, Rui & Zhu, Jingyu & Chen, Guoming & Tian, Zhigang, 2022. "A real-time probabilistic risk assessment method for the petrochemical industry based on data monitoring," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    5. Hu, Yunwei & Parhizkar, Tarannom & Mosleh, Ali, 2022. "Guided simulation for dynamic probabilistic risk assessment of complex systems: Concept, method, and application," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    6. Parhizkar, Tarannom & Vinnem, Jan Erik & Utne, Ingrid Bouwer & Mosleh, Ali, 2021. "Supervised Dynamic Probabilistic Risk Assessment of Complex Systems, Part 1: General Overview," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    7. Dui, Hongyan & Lu, Yaohui & Chen, Liwei, 2024. "Importance-based system cost management and failure risk analysis for different phases in life cycle," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    8. Parhizkar, Tarannom & Utne, Ingrid Bouwer & Vinnem, Jan Erik & Mosleh, Ali, 2021. "Supervised dynamic probabilistic risk assessment of complex systems, part 2: Application to risk-informed decision making, practice and results," Reliability Engineering and System Safety, Elsevier, vol. 208(C).

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