Volume 16, Issue 4 (10-2019)                   ioh 2019, 16(4): 72-82 | Back to browse issues page

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Mousavi S M, moradirad R, beheshti M H, hajizadeh R, taheri F, khodaparast I, et al . Evaluation of noise pollution levels before and after corrective actions in the operational units of tanks and petroleum products transportation in Abadan Oil refining Company. ioh. 2019; 16 (4) :72-82
URL: http://ioh.iums.ac.ir/article-1-1870-en.html
, roohalahhajizade@gmail.com
Abstract:   (1024 Views)

Introduction & Objective: Noise exposure, risk exposure in a wide range of work station, especially oil and gas industry and related companies is considered. This study was carried out to evaluate the noise before and after corrective action in 11 operational units of tanks and transportation in Abadan oil refining company.
Methods: First, the basic information including the location of noise sources and operating conditions of the equipment was collected. noise measurements was performed based on ISO 9612 standard before and after implementation of corrective actions, including repair or replacement of defective and worn out Parts or lubrication of moving parts 
and using SLM CEL 490 mode calibrated with CEL-110/1  of casella  company was performed.
Results: According to the results, the NTA has the highest amount of noise (97 dB) and spherical tanks with the lowest noise (82 dB). In this study, measured total 523 stations, 115 stations with noise levels over 85 dB, 373 stations between 65 and 85 dB sound pressure level and sound pressure level less than 65 dB in 30 stations.
After carrying out corrective measures to reduce noise measurements, result showed that reduction of average sound pressure level of unit 1 of oil pumping with the 2/39 dB, 1.7 dB with a unit of Control Center, pus oil pumping unit with 0.98 dB and NTA unit with 0.08 dB, carried out respectively.
Conclusion: Noise measurements showed that the NTA unit was one of the severest conditions from the viewpoint of noise pollution among the other units. This study confirms the need to identify the main sources of sound and prioritize different parts of the industrial unit in order to implement control schemes engineering.

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Type of Study: Research | Subject: Noise
Received: 2018/08/3 | Accepted: 2019/06/8 | Published: 2019/10/13

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