Dynamic risk analysis of evolving scenarios in oil and gas separator

Abdullah Alsulieman, Xihe Ge, Zhiguo Zeng, Sergiy Butenko, Faisal Khan and Mahmoud El-Halwagi

Reliability Engineering and System Safety, 2024, vol. 243, issue C

Abstract: Risk assessment models in the oil and gas (O&G) industry has begun to transform from time-static models like fault tree, event tree or bowtie to dynamic risk assessment (DRA) models, as the latter is able to better capture the real-time-dependent risk behavior of safety barriers. Currently, most existing works on DRA in O&G industry mainly rely on event-driven data, such as failures or accident data from similar systems for risk updating. These data can be collected only when accidents or near-misses have occurred, which limits the prediction capability of the DRA model. To address this drawback, a DRA model is developed in this paper that uses condition-monitoring data for risk updating. A significant advantage of using condition-monitoring data is that the risk can be updated before accidents or failures occur, giving the operation team more time to take preventive actions.

Keywords: Dynamic risk analysis; Condition-monitoring; Safety analysis; Process safety; Risk analysis (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:243:y:2024:i:c:s0951832023007482

DOI: 10.1016/j.ress.2023.109834

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