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.
引用
收藏
页数：12
相关论文
共 50 条
  • [1] Applying a semi-quantitative risk assessment on petroleum production unit
    Fatma M. Eltahan
    Monica Toderas
    Moustapha S. Mansour
    El Sayed Z. El-Ashtoukhy
    Mohamed A. Abdou
    F. Shokry
    Scientific Reports, 14
  • [2] Combining semi-quantitative risk assessment, composite indicator and fuzzy logic for evaluation of hazardous chemical accidents
    Do, Huyen Thi Thu
    Ly, Tram Thi Bich
    Do, Tho Tien
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [3] A semi-quantitative risk assessment of remote handling operations on the SPES Front-End based on HAZOP-LOPA
    Lilli, Giordano
    Sanavia, Matteo
    Oboe, Roberto
    Vianello, Chiara
    Manzolaro, Mattia
    De Ruvo, Pasquale Luca
    Andrighetto, Alberto
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 241
  • [4] A semi-quantitative methodology for risk assessment of university chemical laboratory
    Li, Xinhong
    Zhang, Luyao
    Zhang, Renren
    Yang, Ming
    Li, Hua
    JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2021, 72
  • [5] Designing a semi-quantitative risk graph
    Milius, Birgit
    FORMS/FORMAT 2010: FORMAL METHODS FOR AUTOMATION AND SAFETY IN RAILWAY AND AUTOMOTIVE SYSTEMS, 2011, : 175 - 183
  • [6] Comprehensive risk assessment of Pakistan railway network: A semi-quantitative risk matrix approach
    Khan, Sadiq
    Pervez, Amjad
    Zhang, Yinggui
    Ahmad, Suleman
    Sharifzada, Hijratullah
    Ismail, Emad A. A.
    Awwad, Fuad A.
    HELIYON, 2024, 10 (12)
  • [7] Incorporating assumption deviation risk in quantitative risk assessments: A semi-quantitative approach
    Khorsandi, Jahon
    Aven, Terje
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2017, 163 : 22 - 32
  • [8] A semi-quantitative coal burst risk classification system
    Vardar, Onur
    Zhang, Chengguo
    Canbulat, Ismet
    Hebblewhite, Bruce
    INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY, 2018, 28 (05) : 721 - 727
  • [9] A semi-quantitative approach to risk analysis, as an alternative to QRAs
    Aven, Terje
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2008, 93 (06) : 790 - 797
  • [10] A semi-quantitative coal burst risk classification system
    Onur Vardar
    Chengguo Zhang
    Ismet Canbulat
    Bruce Hebblewhite
    InternationalJournalofMiningScienceandTechnology, 2018, 28 (05) : 721 - 727
12345