کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6972857 | 1453254 | 2018 | 35 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Risk identification of third-party damage on oil and gas pipelines through the Bayesian network
ترجمه فارسی عنوان
شناسایی خطر آسیب های شخص ثالث در خطوط لوله نفت و گاز از طریق شبکه بیس
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کلمات کلیدی
خط لوله نفت و گاز، آسیب شخص ثالث، شناسایی خطر، شبکه بیزی،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
بهداشت و امنیت شیمی
چکیده انگلیسی
This paper aims to identify the risks influencing oil and gas (O&G) pipeline safety caused by third-party damage (TPD). After comprehensive literature study, we found that the traditional risk identification of TPD suffers from defining binary states of risk only and ignores the risk factors after pipeline failure. To overcome this problem, we investigated incident reports to identify previously unrecognized additional factors. This work also developed a graphic model by using Bayesian theory to cope with the multistate risks arising from third parties and to present the incident evolution process explicitly. Furthermore, this paper included a leakage case study conducted to verify the logicality of this model. The results of case study inspire that the proposed methodology can be used in a dual assurance approach for risk mitigation, namely learning from previous incidents and continuously capturing new risk information for risk prevention.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Loss Prevention in the Process Industries - Volume 54, July 2018, Pages 163-178
Journal: Journal of Loss Prevention in the Process Industries - Volume 54, July 2018, Pages 163-178
نویسندگان
Xiaoyan Guo, Laibin Zhang, Wei Liang, Stein Haugen,