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The Use of Fuzzy Logic to Reduce uncertainty in Risk Management for Oil and Gas industry: Analysis of Texas City Oil Refinery Plant Explosion

  • Mohammad Moghaddaszadeh Kerma
  • , Moray Kidd

Research output: Chapter in Book/Conference proceeding › Conference contribution

Abstract

Historically, risk matrices are used as bases of decision for improving safety, reliability and availability of oil and gas assets. Quantitative Risk Assessment (QRA) is used to determine the position of a component, unit, or process in the risk and criticality matrix. The red line introduce with authorities, which divides the risk matrix into two regions. The desirable section refers to the region where the production of consequence and likelihood reflect the criticality as very low or low. The undesirable region refers to the situation where the criticality reports as Medium or high Crossing the line towards undesirable region was the only concern of managers. All the efforts of experts, engineers and operators focused to bring the whole asset just below the red line. In other words the acceptable region defined as being just a step behind the red line. In fact such attitudes represent the view of looking at the problem as black and white rather than considering some uncertainties that might involve in risk assessment methods.
Original languageEnglish
Title of host publicationPostgraduate Research (PGR) Studies
Place of PublicationSchool of Mechanical, Aerospace & Civil Engineering, The University of Manchester,
Pages27-30
Number of pages4
Publication statusPublished - 26 Mar 2015
EventPGR Conference,School of Mechanical, Aerospace & Civil Engineering, The University of Manchester, - School of Mechanical, Aerospace & Civil Engineering, The University of Manchester,
Duration: 26 Mar 2015 → 26 Mar 2015

Conference

ConferencePGR Conference,School of Mechanical, Aerospace & Civil Engineering, The University of Manchester,
CitySchool of Mechanical, Aerospace & Civil Engineering, The University of Manchester,
Period26/03/15 → 26/03/15

Keywords

  • Risk Management, uncertainty, Oil and Gas industry

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