دورية أكاديمية
Reliabilities analysis of evacuation on offshore platforms: A dynamicBayesian Network model
| العنوان: | Reliabilities analysis of evacuation on offshore platforms: A dynamicBayesian Network model |
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| المؤلفون: | Yanfu Wang, Kun Wang, Tao Wang, Xi Yan Li, Fasial Khan, Zaili Yang, Jin Wang |
| سنة النشر: | 2021 |
| المجموعة: | Zenodo |
| مصطلحات موضوعية: | K2 algorithm, Dynamic Bayesian network, Reliability prediction of successful evacuation, Analysis of influencing factors |
| الوصف: | An offshore platform is naturally vulnerable to accidents, such as the leakage of dangerous chemicals, fire and explosion because there are a lot of oil and gas, where all the equipment and pipes are squeezed into a limited area. Escape, Evacuation, and Rescue (EER) plans play a vital role as the last barrier to ensure the safety of personnel in the event of a major accident. As a result, the main contributors leading to evacuation failure are analyzed in this study to prioritize technology development needed to select a robust EER strategy. The scope of this research focuses on the quantitative analysis of various EER strategies on offshore platforms. In this research, a reliability prediction model of emergency evacuation is established for offshore platforms based on the K2 structure learning algorithm and a Bayesian network parameter learning method. The conditional probability tables of each node are determined by combining the Bayesian estimation method and a junction tree reasoning engine. The reliability of emergency evacuation on a platform is predicted using a dynamic Bayesian network model. The transition probability is determined through a Markov method. The main factors leading to evacuation failure are investigated using the diagnostic reasoning method of Bayesian Network. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| العلاقة: | info:eu-repo/grantAgreement/EC/H2020/840425/; https://zenodo.org/record/5163232Test; https://doi.org/10.1016/j.psep.2021.04.009Test; oai:zenodo.org:5163232 |
| DOI: | 10.1016/j.psep.2021.04.009 |
| الإتاحة: | https://doi.org/10.1016/j.psep.2021.04.009Test https://zenodo.org/record/5163232Test |
| حقوق: | info:eu-repo/semantics/openAccess ; https://creativecommons.org/licenses/by/4.0/legalcodeTest |
| رقم الانضمام: | edsbas.B28240D8 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1016/j.psep.2021.04.009 |
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