Beyond-compliance uses of HAZOP/LOPA studies |
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Authors: | Robert W Johnson |
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Institution: | 1. Laboratory of Research in Industrial Prevention (LRIP), Health and Occupational Safety Institute, Safety Department, University of Batna, Med El-Hadi Boukhlouf Street, Batna 05000, Algeria;2. Entreprise Nationale des Travaux aux Puits (ENTP Company), B.P. 206, Hassi-Messaoud, Algeria;1. Mary Kay O’Connor Process Safety Center, Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX 77843-3122, USA;2. Process Safety Consultant, Spring, TX, USA;1. Department of Health, Safety & Environment (HSE), School of Environment, College of Engineering, University of Tehran, Tehran, Iran;2. Department of Industrial Engineering and Management System, Amirkabir University of Technology, Tehran, Iran;3. Faculty of Technology, Policy, and Management, Delft University of Technology, the Netherlands |
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Abstract: | Recent years have seen a convergence of scenario-based Hazard and Operability (HAZOP) studies, Layer of Protection Analyses (LOPAs), and safety integrity level (SIL) determinations. These can all be performed using order-of-magnitude estimates for the initiating cause frequency, the effectiveness of protection layers, the severity of loss event consequences, and the inclusion of other risk-reduction factors. Conducting a HAZOP study or a HAZOP/LOPA study in this manner makes it possible to extend the study results to not only determine required SILs, but also to sum scenario risks by process unit and show the quantitative benefit of implementing risk-reduction measures. The aggregated risk can be compared to process-wide tolerable risk criteria, in addition to comparing each scenario to a risk matrix or risk magnitude. This presentation demonstrates how a true risk-based HAZOP study can be performed with little additional effort over that required for commonly performed cause-by-cause HAZOP studies, and how facility managers and engineers can then use the results when deciding on and implementing risk-reduction measures. |
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