Hazard identification by extended multilevel flow modelling with function roles.

Jing Wu*, Laibin Zhang, Sten Bay Jørgensen, Gürkan Sin, Zia Ullah Khokhar, Morten Lind

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

HAZOP studies are widely accepted in chemical and petroleum industries as the method for conducting process hazard analysis related to design, maintenance and operation of th e systems. In this paper, a HAZOP reasoning method based on function-oriented modelling, multilevel flow modelling (MFM) is extended with functi on roles to complete HAZOP studies in principle. A graphical MFM editor, which is combined with the reasoning engine (MFM Workbench) developed by DTU is applied to automate HAZOP studies. The method is proposed to suppor t the ‘brain-storming’ sessions in traditional HAZOP analysis. As a case study, the extended MFM-based HAZOP methodology is applied to an o ffshore three-phase separation process. The results show that the cause-consequence analysis in MFM can infer the cause and effect of a deviation used in HAZOP and used to fill HAZOP worksheet. This paper is the first pa per discussing and demonstrating the potential of the roles concept in MFM to supplement the completeness of HAZOP analysis in theory
Original languageEnglish
JournalInternational Journal of Process Systems Engineering
Volume2
Issue number3
Pages (from-to)203-220
ISSN1757-6342
Publication statusPublished - 2014

Keywords

  • Hazard identification
  • Multilevel Flow Modelling
  • MFM
  • Automated HAZOP
  • Oil and Gas Industry

Cite this

@article{114fdf2abc8648dfaa3ed0ed18f05d93,
title = "Hazard identification by extended multilevel flow modelling with function roles.",
abstract = "HAZOP studies are widely accepted in chemical and petroleum industries as the method for conducting process hazard analysis related to design, maintenance and operation of th e systems. In this paper, a HAZOP reasoning method based on function-oriented modelling, multilevel flow modelling (MFM) is extended with functi on roles to complete HAZOP studies in principle. A graphical MFM editor, which is combined with the reasoning engine (MFM Workbench) developed by DTU is applied to automate HAZOP studies. The method is proposed to suppor t the ‘brain-storming’ sessions in traditional HAZOP analysis. As a case study, the extended MFM-based HAZOP methodology is applied to an o ffshore three-phase separation process. The results show that the cause-consequence analysis in MFM can infer the cause and effect of a deviation used in HAZOP and used to fill HAZOP worksheet. This paper is the first pa per discussing and demonstrating the potential of the roles concept in MFM to supplement the completeness of HAZOP analysis in theory",
keywords = "Hazard identification, Multilevel Flow Modelling, MFM, Automated HAZOP, Oil and Gas Industry",
author = "Jing Wu and Laibin Zhang and J{\o}rgensen, {Sten Bay} and G{\"u}rkan Sin and Khokhar, {Zia Ullah} and Morten Lind",
year = "2014",
language = "English",
volume = "2",
pages = "203--220",
journal = "International Journal of Process Systems Engineering",
issn = "1757-6342",
publisher = "Inderscience Publishers",
number = "3",

}

Hazard identification by extended multilevel flow modelling with function roles. / Wu, Jing; Zhang, Laibin; Jørgensen, Sten Bay; Sin, Gürkan; Khokhar, Zia Ullah; Lind, Morten.

In: International Journal of Process Systems Engineering, Vol. 2, No. 3, 2014, p. 203-220.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Hazard identification by extended multilevel flow modelling with function roles.

AU - Wu, Jing

AU - Zhang, Laibin

AU - Jørgensen, Sten Bay

AU - Sin, Gürkan

AU - Khokhar, Zia Ullah

AU - Lind, Morten

PY - 2014

Y1 - 2014

N2 - HAZOP studies are widely accepted in chemical and petroleum industries as the method for conducting process hazard analysis related to design, maintenance and operation of th e systems. In this paper, a HAZOP reasoning method based on function-oriented modelling, multilevel flow modelling (MFM) is extended with functi on roles to complete HAZOP studies in principle. A graphical MFM editor, which is combined with the reasoning engine (MFM Workbench) developed by DTU is applied to automate HAZOP studies. The method is proposed to suppor t the ‘brain-storming’ sessions in traditional HAZOP analysis. As a case study, the extended MFM-based HAZOP methodology is applied to an o ffshore three-phase separation process. The results show that the cause-consequence analysis in MFM can infer the cause and effect of a deviation used in HAZOP and used to fill HAZOP worksheet. This paper is the first pa per discussing and demonstrating the potential of the roles concept in MFM to supplement the completeness of HAZOP analysis in theory

AB - HAZOP studies are widely accepted in chemical and petroleum industries as the method for conducting process hazard analysis related to design, maintenance and operation of th e systems. In this paper, a HAZOP reasoning method based on function-oriented modelling, multilevel flow modelling (MFM) is extended with functi on roles to complete HAZOP studies in principle. A graphical MFM editor, which is combined with the reasoning engine (MFM Workbench) developed by DTU is applied to automate HAZOP studies. The method is proposed to suppor t the ‘brain-storming’ sessions in traditional HAZOP analysis. As a case study, the extended MFM-based HAZOP methodology is applied to an o ffshore three-phase separation process. The results show that the cause-consequence analysis in MFM can infer the cause and effect of a deviation used in HAZOP and used to fill HAZOP worksheet. This paper is the first pa per discussing and demonstrating the potential of the roles concept in MFM to supplement the completeness of HAZOP analysis in theory

KW - Hazard identification

KW - Multilevel Flow Modelling

KW - MFM

KW - Automated HAZOP

KW - Oil and Gas Industry

M3 - Journal article

VL - 2

SP - 203

EP - 220

JO - International Journal of Process Systems Engineering

JF - International Journal of Process Systems Engineering

SN - 1757-6342

IS - 3

ER -