Applying a semi-quantitative risk assessment on petroleum production unit

被引：1
|
作者：
Eltahan, Fatma M. [1 ]
Toderas, Monica [2 ]
Mansour, Moustapha S. [1 ]
El-Ashtoukhy, El Sayed Z. [1 ]
Abdou, Mohamed A. [3 ]
Shokry, F. [4 ]
机构：
[1] Alexandria Univ, Fac Engn, Chem Engn Dept, Alexandria, Egypt
[2] Univ Oradea, Fac Sci, Dept Phys, Univ St 1, Oradea 410087, Romania
[3] City Sci Res & Technol Applicat SRTA City, Informat Res Inst IRI, Alexandria, Egypt
[4] Port said Univ, Fac Engn, Chem Engn Dept, Port Said, Egypt
来源：
SCIENTIFIC REPORTS | 2024年 / 14卷 / 01期
关键词：
LOPA; HAZOP; Risk assesment; QRA; Petroleum industry; FAULT-TREE ANALYSIS; FUZZY-LOGIC; PROTECTION ANALYSIS; SAFETY; UNCERTAINTY; LOPA; SYSTEM; LAYER;
D O I：
10.1038/s41598-024-57600-2
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Applying safety means in the industry, especially in the petroleum industry is very important to maintain the industrial facility. A semi-quantitative risk assessment as Layers of Protection Analysis (LOPA) is used widely to quantify data after qualitative risk analysis as HAZOP using a simpler way than quantitative risk analysis 'QRA' as fault tree analysis 'FTA'. This determines if a new safety integrity function 'SIF' is needed. This paper introduces a novel fuzzy logic system to solve the failure of crude oil shipping pumps. Several models are studied to select the most appropriate fuzzy membership functions. Results are compared with results from the LOPA model, which shows the advantages of using the proposed model to reduce the RRF for the potential hazard and achieve a simple and reliable control method.
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页数：12
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