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Volume 1, Issue 1 (1-2012)
Abstract
Introduction: This study was conducted to assess noise pollution in one of thepetrochemical complex andtakepractical measures to reduce it. Thecompanyis located in site 4 of Mahshahr Special Economic Zone.
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Method and Materials: In the first phase of the research, environmental noise was measured to determine the noise levelsin the different sections of the plant and also identify the main sound sources.Then,using the basic acoustic knowledge, aformulahasbeenproposedasan indexof noise control priority to select one section of the plant as the first priority forcontrolling noise. The main soundsource of the selected section wasknownby referring to noise maps and contours and finally its acoustic properties were analyzed.
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Results: The results showed that safety caution and danger areasof the plant under study were 16.7%, 74.5% and 8.8% respectively and a major part of the danger zone (about 54%) was related to unit Air. Noise level in 24 percent of the caution zone ranged from80 to 85 dBA and alsoitwas above 90 dBA in 33.4% of danger areas.
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Conclusion: Compressionsectionwhich was located in unit Air was knownas first priority based on Noise Control Priority Index.Dryer machineswere the main sound source in this section.
Faeze Torbatian Mashhadi, Omran Ahmadi,
Volume 15, Issue 2 (7-2025)
Abstract
Introduction: Measuring and monitoring the process safety management system is essential to reduce the risk of accidents in process industries. For this purpose, lagging and leading process safety performance indicators are utilized. The aim of the present study is to select, validate and prioritize the leading indicators of process safety performance.
Material and Methods: First, the leading indicators associated with risk factors affecting hydrocarbon liquid tanks were identified and selected based on the guidelines provided by the CCPS, HSE UK, OGP, and relevant scholarly articles. After choosing the appropriate indicators, the content validity of the indicators was studied. In the next step, indicators with acceptable content validity were studied by experts in terms of applicability and importance using fuzzy weighting.
Results: Out of 18 performance indicators related to risk factors influencing the performance of operating personnel, 3 indicators were eliminated due to content validity ratio (CVR) and content validity index (CVI) scores below acceptable levels. The remaining 15 indicators advanced to the next stage of the study. All 4 indicators related to the performance of maintenance personnel achieved acceptable CVR and CVI scores and were also included in the next stage. Of the 13 indicators defined for equipment performance, 3 were excluded due to low CVR or CVI scores, and 10 progressed to the subsequent phase. For firefighters, 9 indicators were identified, of which 2 were eliminated due to low CVR or CVI, and 7 advanced to the next stage. In this stage, all 36 indicators achieved acceptable applicability scores and were subsequently weighted.
Conclusion: The 36 final indicators presented in this study can be used to measure process safety performance in the oil industry. Although the present study was a case study on liquid hydrocarbon tanks, most of the indicators presented can be applied to other sectors of the oil industry. In addition, the weights specified for each of these indicators can be used to prioritize the indicators.
