Hazard identification and accident analysis on city gate station in natural gas industry

Nikbakht, Mehrdad; Sayyah, Ali; Zulkifli, Nurul Nadwa

doi:10.1109/iceea.2010.5596080

Cited by 4 publications

(4 citation statements)

References 12 publications

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“…In the case of the company under study, the distribution takes place after the natural gas flows through the city gates, which are essential points in the entire natural gas physical value chain. Your function is to reduce the pressure of the natural gas that runs through the transmission pipelines and the city gates be used as sites for flow and pressure measurements (Nikbakht, Sayyah & Zulkifli, 2010).…”

Section: Natural Gasmentioning

confidence: 99%

MCDM Model for Natural Gas Pressure Reducing Station Site Selection

Lacerda

Neto

Martins

2021

International Journal of Decision Support System Technology

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Considering the increasing scenario of natural gas consumption, it is necessary that all agents in the chain use methods that structure decision-making and problem-solving processes. This paper proposes a multicriteria decision model to solve a site selection problem for a pressure reducing station. A natural gas distribution company was selected to test the model and the preference modeling was conducted through the flexible interactive tradeoff (FITradeoff) approach, according to the preferences of the decision maker (DM). FITradeoff's decision support system was used to assess the alternatives of the model, through the inference of the criteria scale constants. The results proved the robustness of the model and the DM evidenced consistency in its preferences. Also, the FITradeoff method demonstrated to be intuitive to apply, since a smaller effort is required from the DM and this is because the procedure does not require complete information in the scale constants elicitation process.

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Section: Natural Gasmentioning

confidence: 99%

MCDM Model for Natural Gas Pressure Reducing Station Site Selection

Lacerda

Neto

Martins

2021

International Journal of Decision Support System Technology

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“…Then, the pressure is reduced to 250 psi by the CGS, and the refined gas enters the Town Board Station (TBS). TBS reduces the gas pressure again to 60 psi, and it then enters the main distributor [20]. A lot of noise is created in these stations due to the existing gas flow, gas pressure reduction in the station, gas discharge, and periodic inspection of gas measurement tools [20].…”

Section: Introductionmentioning

confidence: 99%

“…TBS reduces the gas pressure again to 60 psi, and it then enters the main distributor [20]. A lot of noise is created in these stations due to the existing gas flow, gas pressure reduction in the station, gas discharge, and periodic inspection of gas measurement tools [20]. Intra-city gas pressure is one of the main sources of noise pollution by increasing gas consumption and excessive overload.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Environmental Sound Pressure Level, Drawing of Noise-Isosonic Map Using Surfer V.19, and Prioritization of Engineering Noise Control Methods Using the Analytic Hierarchy Process (AHP): A Field Study in CGS Stations

Rahmani¹,

Korouzhdeh²,

Hajghani³

et al. 2022

Sound&Vibration

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Noise pollution is one of the most significant harmful physical factors in the industrial and occupational environments. Due to the high costs of exposure to excessive noise; continuous sound evaluation, propose and implement noise control plans in occupational environments is necessary. Thus, the present study aimed to review environmental sound measurements, drawing of noise maps, and prioritizing the engineering noise control methods using the Analytic Hierarchy Process (AHP). This study was a descriptive-analytical study that aimed to assess occupational noises and present a control plan in the City Gas Stations (CGSs) of Kerman, Iran in 2021. The present study was done in two phases. In the first phase, six CGSs were investigated to measure and evaluate the noise. In addition, the noise map of a CGS was drawn using the Surfer software. Finally, the AHP was used in the second phase of the research to prioritize the control measures. In this phase, four criteria and ten alternatives were identified. According to first phase results, the sound pressure level (SPL) of the stations varied from 76 to 98 dBA. Besides, the majority of the studied stations had a sound level higher than 85 dBA (danger zone). The second phase of the study showed that out of the four evaluated criteria, the executability criterion had the highest impact and the cost criterion had the lowest impact on the selection of control measures with a weight of 0.587 and 0.052, respectively. Based on the results of prioritization of the alternatives, using a silenced regulator (weight of 0.223) and increasing the thickness of the tube (weight of 0.023) had the highest and lowest priorities among the alternatives, respectively. The use of engineering noise control methods such as using silenced regulators was the best way to control the noises of CGSs. Additionally; it is noteworthy that AHP is a practical method for prioritizing alternatives to achieve the most accurate decision-making. The results of AHP can be of great help to health and safety experts and managers in choosing the sound engineering control measures more precisely.

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“…Such work on the use of Markov model to study industrial accidents has been reported. Typical studies include: [1][2][3][4] among others who also employed other models to safety. These studies go to underscore the importance of industrial safety.…”

Section: Introductionmentioning

confidence: 99%

A Factorial Analysis of Industrial Safety

OMOYİ

OMOTEHİNSE

2022

International Journal of Engineering and Innovative Research

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In spite of all the efforts in different industries to reduce the number of undesirable accidents, a lot of events always threaten industrial societies. These events often cause huge damages to the environment, facilities, fatalities and disabilities for people. Therefore, it is important to analyse the numerous variables associated with industrial accident considerations and the inter play among these variables. This paper adopts a novel combination of two statistical methods to analyse the various hazards factors in the most important sector of the economy. In this analysis, critical hazards variables were identified and classified based on HSE (Health Safety and Environment) standards. Kendall's Coefficient of Concordance (KCC ) and Principal Component Analysis (PCA) were employed to analyse the set of data generated from respondents and were summarized into a number of factors that promotes occupational safety and health in industries. KCC was used to analyze data matrix generated by thirteen Judges who were requested to rank the thirty two identified hazards variables in merit order of sequentiality scaled with 5-point Rensis Likert's attitudinal scale and administered to 22 respondents where only 13 were retrieved. The PCA aided by StatistiXL software package was proficient to achieving parsimony in factor reduction from thirty-two variables to mere five factors. The results obtained by KCC suggested that the judges ranking of the thirty two variables were consistent with index of concordance computed as W = 0.958. The result by PCA indicates that five factors creatively labelled: Work World Culture, Ground Rule Matters, Safety Considerations, Work Condition and Perception of Safety represent the principal factors that influence the industrial safety. This study unwrapped the deeper meanings associated with multi-dimensional factors in industrial safety.

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Hazard identification and accident analysis on city gate station in natural gas industry

Cited by 4 publications

References 12 publications

MCDM Model for Natural Gas Pressure Reducing Station Site Selection

MCDM Model for Natural Gas Pressure Reducing Station Site Selection

Evaluation of Environmental Sound Pressure Level, Drawing of Noise-Isosonic Map Using Surfer V.19, and Prioritization of Engineering Noise Control Methods Using the Analytic Hierarchy Process (AHP): A Field Study in CGS Stations

A Factorial Analysis of Industrial Safety

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