• Journal of the Korean Chemical Society
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• v.58 no.1
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• pp.76-79
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• 2014

Petroleum refinery effluents are waste originating from industries primarily engaged in refining crude oil. It is a very complex compound of various oily wastes, water, heavy metals and so on. Conventional processes are unable to effectively remove the chemical oxygen demand (COD) of petroleum refinery effluents. Supercritical water oxidation (SCWO) was proposed to treat petroleum refinery effluents. In this paper, methanol was used to investigate co-oxidative effect of methanol on petroleum refinery effluents treatment. The results indicated that supercritical water oxidation is an effective process for petroleum refinery effluents treatment. Adding methanol caused an increase in COD removal. When reaction temperature is $440^{\circ}C$, residence time is 20 min, OE is 0.5 and initial COD is 40000 mg/L, and COD removal increases 8.5%.

• Journal of Environmental Science International
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• v.13 no.7
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• pp.703-710
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• 2004

Petroleum refineries have been considered as an important emission source for atmospheric volatile hazardous air pollutants(HAPs). The emission source includes petroleum refinery processes and process equipment. The control strategy for volatile HAPs requires emission estimations of these pollutants. However, systematic methods of volatile HAPs emission from petroleum refineries have not yet been established. Accordingly, present study surveyed the estimation method of volatile HAPs emitted from the petroleum refinery processes and process equipment. The emission estimation methods for the petroleum refinery processes are applied for 11 petroleum refining facilities: fluidized catalytic cracking, thermal cracking, moving bed catalytic cracking, compressed engine, blowdown system, vacuum distilled column condensator, natural gas or distilled boiler, natural gas or distilled heater, oil boiler, oil heater and flare. Four emission estimation methods applied for the petroleum refinery process equipment are as follows: average emission factor approach, screening ranges approach, EPA correlation approach and unit-specific correlation approach. The process equipment for which emission factors are available are valves, pump seals, connectors, flanges and open-ended lines.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.15 no.1
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• pp.27-35
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• 2005

This study was carried out to evaluate the characteristics of petroleum refinery workers' exposure to organic solvents. Exposure assessment was conducted by full shift-based long term personal sampling(TWA-P) and task-based short term personal sampling(STEL-P) strategy. Major organic solvents that workers can be exposed are various, varying from C3~C12, and this study focused on 11 kinds including benzene, considering toxicity and concentration level. In comparison with two sampling results, STEL-P shows a significant(p<0.001) excess of exposure level rather than TWA-P. As the potential risk index for benzene is calculated as 16, benzene should be set the highest priority for control in petroleum refinery industry. The tasks with the highest benzene exposure level were de-watering(AM;99.8 ppm), draining(AM;19.6ppm), sampling(AM;16.2ppm), and manual gauging(AM;15.02ppm). Petroleum refinery workers' exposure pattern to organic solvents differs by tasks performed, and some task has a high risk of temporary extreme exposure. Therefore, traditional 8-hour TWA sampling strategy have possibility of underestimation of exposure level of workers in petroleum refinery.

• Asian Journal of Atmospheric Environment
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• v.11 no.4
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• pp.254-269
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• 2017

The work describes an assessment of the major air pollutants, $NO_2$, $SO_2$, CO, $O_3$, $NH_3$, coarse and fine particulate matter ($PM_{10}$, $PM_{2.5}$) in ambient air in and around a 3 million tonne Petroleum Refinery and the possible impacts on a pristine area marked by the presence of the world-famous Kajiranga National Park, a world heritage site and habitat for the most number of one-horned rhinos in the world. The Refinery is at an aerial distance of 20-25 km from the wildlife habitat. The assessment is based on regular monitoring at four stations around the Refinery and one station near the National Park. Heavy rains during June to August influence the pollutant concentrations while at other times of the year, large traffic volume adds to the pollutant concentrations that peak during November to March, the dry months of the year. Correlation analysis by scatter technique is utilised to obtain the enhancement ratios to predict the variations in the concentrations of the pollutants and their spatial distribution. Computation of air quality index (AQI) indicates that the coarse and the fine particulates in the ambient air could be a major hazard to wildlife in the area.

• 한국연소학회:학술대회논문집
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• 2014.11a
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• pp.255-257
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• 2014

The installation of light oil facilities or delayed cokers seems to be inevitable in the oil refinery industry due to the heavy crude oil reserves and the increased use of light fuels as petroleum products. Petroleum coke is a byproduct of oil refineries and it has higher fixed carbon content, higher calorific value, and lower ash content than coal. However, its sulfur content and heavy metal content are higher than coal. In spite of disadvantages, petroleum coke might be one of promising resources due to gasification processes. The gasification of petroleum coke can improve economic value of oil refinery industries by handling cheap, toxic wastes in an environment-friendly way. In this study, $CO_2$ gasification reaction kinetics of petroleum coke, various coals and mixing coal with petroleum coke have investigated and been compared by using TGA. The kinetics of $CO_2$ gasification has been performed with petroleum coke, 3 kinds of bituminous coal [BENGALLA, White Haven, TALDINSKY], and 3 kinds of sub-bituminous coal [KPU, LG, MSJ] at various temperature[$1100-1400^{\circ}C$].

• Journal of the Korea Safety Management & Science
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• v.23 no.2
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• pp.19-24
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• 2021

The petroleum refinery industry handles a variety of complex chemical substances and employs a large number of people around the world. According to previous research, diseases caused by exposure to chemicals were quite common among workers in refineries until the 1980s. More recently, it is unusual for oil refinery workers to suffer from these serious diseases. The objective of this study was to identify the occurrence level of general diseases and any differences in lifestyle habits of workers in refineries in Korea compared with the general population. In this study, we used the results of health examinations from 2014 for workers at a large oil refinery in South Korea. In addition, based on the results of KNHANES from 2014 as representative of the population, hypertension, diabetes, anemia, hyperlipidemia, liver function abnormality, and kidney function abnormality were calculated using the standardized incidence rate. Hypertension showed a low result with an SIR of less than 1, but a high result in the case of abnormal liver function. The workers' occurrence rates of hypertension, hyperlipidemia, kidney dysfunction, and anemia were lower than those of ordinary salaried employees. however, their occurrence rate for abnormal liver function was markedly higher. In lifestyle habits, the smoking rate of workers was low while the alcohol consumption rate was quite high. This study has improved the understanding of the health status of workers in a large oil refinery in Korea, and has shown the impact of lifestyle habits related to the work environment on chronic diseases.

• Korea Petroleum Association Journal
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• no.2 s.180
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• pp.76-83
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• 1996

이 자료는 최근 하와이의 동서문화 센터가 마련한 「Asia - Pacific Refinery Balance and Product Flows to 2000」중 석유제품 품질규격 부분을 발췌한 것이다. <편집자 주>

• Environmental and Resource Economics Review
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• v.17 no.2
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• pp.381-418
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• 2008

This study revisits the meaning of energy security by examining the oil market supply and demand conditions of petroleum products and refinery capacity of three Northeast Asian countries(Korea, China, Japan). In 2006, 10.6 million bid of excess demand occurred and is expected to be 15~22 million bid by the year 2030 in this regional oil market. Different oil demand is caused mainly by the different demands for various petroleum products based on each country's economic structures. If the demands are ranked according to their petroleum products, Chinese case shows gasoil > gasoline > fuel oil> LPG > naphtha > Kero/jet and Japanese case shows gasoil > gasoline> naphtha> Kero/jet > fuel oil > LPG, while Korean case shows naphtha> gas oil > fuel oil > LPG > Kero/jet > gasoline, respectively. Total CDU(Crude Distillation Unit) capacity of three northeast asian countries also have been examined in this respect. This study points out the importance of the information on oil demand and supply, on petroleum products and refinery capacities of the three Northeast Asian countries to enhance the security of the oil market in this region.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2007.10a
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• pp.324-326
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• 2007

• Journal of Korean Society on Water Environment
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• v.36 no.5
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• pp.453-467
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• 2020

This study aimed to inventory the water pollutant discharge of wastewater from two facilities, one primary steel manufacturing facility and one petroleum refinery, both of which are located in Korea, and to identify ways to improve the wastewater treatment process through field investigation. Probability evaluation was used to inventory the substances in polluted water. The samples collected in this study included original wastewater, on processing wastewater, and treated water. The general description of wastewater occurrence, major sources, and treatment facilities were also investigated to obtain an integrated database of the pollutants created by different industrial categories. Based on our analysis of raw wastewater and final effluent, the detected pollutants were confirmed by analyzing their presence in the raw or supplemental materials, the potential of formation as byproducts, and the possibility of inclusion as impurities. The compounds detected for each category were screened via investigation of their possible sources and confirmed as the final water pollutant inventories. Thirty kinds of water pollutants were emitted by the primary steel manufacturing facility (reference in case A), including 14 specified hazardous water pollutants. The petroleum refinery (reference in case B) emitted 36 water pollutants, including 16 specified hazardous water pollutants.