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Validation of Dynamic Risk Analysis Supporting Integrated Operations Across Systems

Author

Listed:
  • Shenae Lee

    (Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology NTNU, S.P. Andersens veg 3, 7031 Trondheim, Norway)

  • Gabriele Landucci

    (Department of Civil and Industrial Engineering, University of Pisa, Largo Lucio Lazzarino 2, 56126 Pisa, Italy)

  • Genserik Reniers

    (Faculty of Applied Economics, University of Antwerp Operations Research Group ANT/OR, 2000 Antwerp, Belgium
    Center for Corporate Sustainability (CEDON), HUB, KULeuven, 1000 Brussels, Belgium
    Safety Science Group, TU Delft, 2628 BX Delft, The Netherlands)

  • Nicola Paltrinieri

    (Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology NTNU, S.P. Andersens veg 3, 7031 Trondheim, Norway)

Abstract

Dynamic risk analysis (DRA) is a novel industrial approach that aims to capture changes in operational conditions over time and quantify their effect on risk. This aspect may be advantageous for providing insight into the causal factors that have substantial risk contributions and supporting decisions related to risk control. Some DRA methods were developed by the oil and gas industry to support the integration of work processes and the cooperation across virtual clusters, e.g., between offshore and onshore systems and/or oil company and supplier. However, DRA has not been extensively adopted and limited attention is given to its validity in practical applications. The objective of this article is to illustrate how this validity can be established based on common validation approaches for risk analysis. The case study focuses on a DRA method named risk barometer that was developed to support integrated operations across the oil and gas industrial systems. The outcome of this study may serve as a basis for the validation of other DRA methods, the use of DRA in practical cases, and ultimately the achievement of integrated operations (IO) capabilities.

Suggested Citation

  • Shenae Lee & Gabriele Landucci & Genserik Reniers & Nicola Paltrinieri, 2019. "Validation of Dynamic Risk Analysis Supporting Integrated Operations Across Systems," Sustainability, MDPI, vol. 11(23), pages 1-25, November.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:23:p:6745-:d:291706
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    References listed on IDEAS

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    Cited by:

    1. Alsulieman, Abdullah & Ge, Xihe & Zeng, Zhiguo & Butenko, Sergiy & Khan, Faisal & El-Halwagi, Mahmoud, 2024. "Dynamic risk analysis of evolving scenarios in oil and gas separator," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    2. Catalin Popescu & Sorin Alexandru Gheorghiu, 2021. "Economic Analysis and Generic Algorithm for Optimizing the Investments Decision-Making Process in Oil Field Development," Energies, MDPI, vol. 14(19), pages 1-24, September.
    3. Michael Felix Pacevicius & Marilia Ramos & Davide Roverso & Christian Thun Eriksen & Nicola Paltrinieri, 2022. "Managing Heterogeneous Datasets for Dynamic Risk Analysis of Large-Scale Infrastructures," Energies, MDPI, vol. 15(9), pages 1-40, April.

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