الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
Applying safety measures in industry, especially in the petroleum industry, is very important to maintain the industrial facility. Layers of Protection Analysis (LOPA) is a semi-quantitative risk assessment that is extensively used to quantify data following qualitative risk analysis (HAZOP) using a simpler method than quantitative risk analysis (QRA) as fault tree analysis ’FTA’. This decides whether a new safety integrity function (’SIF’) is required. To create a typical LOPA model, we need to know the frequency of initiating events, the probability of protective layer failures, and the severity of consequences, which are derived from the system’s historical records. Other sources, such as databases and judgements from experts, are used when there is insufficient information available about the status of the system. In this work, a traditional LOPA model is used to estimate the Safety Integrity Level (SIL) grade, followed by a fuzzy logic model based on a risk matrix to evaluate risk. Our case study examines the failure of crude oil shipping pumps; the suggested work then compares traditional and fuzzy LOPA approaches. The study’s goal is to lower the RRF for the possible hazard and provide a simple and reliable control solution. The proposed system consists of two inputs the economic loss and the number of injuries and one output the severity of the scenario. As it is difficult to guess which membership function to use the proposed system is built using three different membership functions for the two set of rules assumptions to show which one gives the best results. Results demonstrated the effectiveness of the proposed fuzzy model in reducing the risk reduction factor which is reflected on the calculation of the safety integrity level SIL, especially with using the trapezoidal MF.