A simulation based engineering method to support HAZOP studies

Rasmus Enemark-Rasmussen, David Cameron, Per Bagge Angelo, Gürkan Sin

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Abstract

HAZOP is the most commonly used process hazard analysis tool in industry, a systematic yet tedious and time consuming method. The aim of this study is to explore the feasibility of process dynamic simulations to facilitate the HAZOP studies.
We propose a simulation-based methodology to complement the conventional HAZOP procedure. The method systematically generates failure scenarios by considering process equipment deviations with pre-defined failure modes. The effect of failure scenarios is then evaluated using dynamic simulations -in this study the K-Spice® software used. The consequences of each failure scenario are summarized using a sensitivity measure, which forms the basis for ranking the significance of failure scenarios. The ranking then reveals the most critical process parameters as well as equipment in a system. The methodology is successfully highlighted using part of gasreinjection process model as case study.
Original languageEnglish
Title of host publicationProceedings of the 11th International Symposium on Process Systems Engineering
EditorsI.A. Karimi, Rajagopalan Srinivasan
PublisherElsevier
Publication date2012
Pages1271-1275
Publication statusPublished - 2012
Event11th International Symposium on Process Systems Engineering - , Singapore
Duration: 15 Jul 201219 Jul 2012

Conference

Conference11th International Symposium on Process Systems Engineering
CountrySingapore
Period15/07/201219/07/2012
SeriesComputer Aided Chemical Engineering
Volume31
ISSN1570-7946

Keywords

  • HAZOP
  • Dynamic simulation
  • Process control
  • Process model
  • Safety
  • Gas-reinjection

Cite this

Enemark-Rasmussen, R., Cameron, D., Angelo, P. B., & Sin, G. (2012). A simulation based engineering method to support HAZOP studies. In I. A. Karimi, & R. Srinivasan (Eds.), Proceedings of the 11th International Symposium on Process Systems Engineering (pp. 1271-1275). Elsevier. Computer Aided Chemical Engineering, Vol.. 31