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 the systems. Different tools have been developed to automate HAZOP studies. In this paper, a HAZOP reasoning method based on function-oriented modeling, Multilevel Flow Modeling (MFM), is extended with function roles. A graphical MFM editor, which is combined with the reasoning capabilities of the MFM Workbench developed by DTU is applied to automate HAZOP studies. The method is proposed to support the “brain-storming” sessions in traditional HAZOP analysis. As a case study, the extended MFM based HAZOP methodology is applied to an offshore 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 paper discussing and demonstrate the potential of the roles concept in MFM to supplement the integrity of HAZOP analysis.
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References
Dunjó, J., Fthenakis, V., Vílchez, J.A., Arnaldos, J.: Hazard and operability (HAZOP) analysis. A literature review. . Journal of hazardous materials 173(1), 19–32 (2010)
Rushton, A.G.: II. 3 Hazard identification techniques. Industrial Safety Series 6, 129–161 (1998)
Venkatasubramanian, V., Zhao, J., Viswanathan, S.: Intelligent systems for HAZOP analysis of complex process plants. Computers & Chemical Engineering 24(9-10), 2291–2302 (2000)
Zhao, C., Bhushan, M., Venkatasubramanian, V.: PHASuite: An automated HAZOP analysis tool for chemical processes. Part I. Knowledge engineering framework. Process Safety and Environmental Protection 83(6), 509–532 (2005)
Zhao, J., Cui, L., Zhao, L., Qiu, T., Chen, B.: Learning HAZOP expert system by case-based reasoning and ontology. Computers & Chemical Engineering 33(1), 371–378 (2009)
Palmer, C., Chung, P.W.H.: An automated system for batch hazard and operability studies. Reliability Engineering & System Safety 94(6), 1095–1106 (2009)
Rossing, N.L., Lind, M., Jensen, N., Jørgensen, S.B.: A functional HAZOP methodology. Computers & chemical engineering 34(2), 244–253 (2010)
KONGSBERG K-Spice® Tutorial, Training Manual, May 2012 © Kongsberg Oil & Gas Technologies AS
Lind, M.: An introduction to multilevel flow modeling. Nuclear Safety and Simulation 2(1), 22–32 (2011)
Lind, M.: Reasoning about causes and consequences in multilevel flow models. In: Proc. European Safety and Reliability Conference (ESREL) 2011 Annual Conference, pp. 18–22 (2011)
Lind, M.: Knowledge representation for integrated plant operation and maintenance. In: Seventh American Nuclear Society International Topical Meeting on Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (2010)
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Wu, J. et al. (2013). Hazard Identification of the Offshore Three-Phase Separation Process Based on Multilevel Flow Modeling and HAZOP . In: Ali, M., Bosse, T., Hindriks, K.V., Hoogendoorn, M., Jonker, C.M., Treur, J. (eds) Recent Trends in Applied Artificial Intelligence. IEA/AIE 2013. Lecture Notes in Computer Science(), vol 7906. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38577-3_43
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DOI: https://doi.org/10.1007/978-3-642-38577-3_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38576-6
Online ISBN: 978-3-642-38577-3
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