Treatment of petroleum refinery sourwater by advanced oxidation processes

Coelho, Alessandra D.; Castro, Antonio V.; Dezotti, Márcia; Sant’Anna, Geraldo L.

doi:10.1016/j.jhazmat.2006.01.051

Cited by 269 publications

(154 citation statements)

References 8 publications

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“…23, No. 9, 2012 Coelho et al 3 verified that peroxidation reduced DOC of sour water from an oil refinery by only 8%, confirming the results obtained in this work. The 1:5, 1:6 and 1:7 DOC:H 2 O 2 mass ratios were able to reduce more than 90% of DOC in the UV/H 2 O 2 tests, so the 1:5 and 1:7 mass ratios were used in the Fenton tests in order to make a comparison between the processes.…”

Section: Photolysis (Uv)supporting

confidence: 87%

“…Photolysis was found to reduce DOC by a similar amount by Coelho et al, 3 who verified reduction of 20% in treatment of sour water from an oil refinery with initial DOC concentration around 1000 mg L -1 .…”

Section: Photolysis (Uv)mentioning

confidence: 58%

“…Coelho et al 3 evaluated reduction of DOC from sour water from a petroleum refinery by several oxidation processes and verified that Fenton and photo-Fenton led to the best results. Bhargava et al 13 employed the catalytic wet oxidation process for treating stripped sour water from an oil shale refinery in Australia, with a 9 g L -1 DOC initial concentration, and they reduced DOC by 73% after a 3 h reaction at 200 °C using a copper and palladium bimetallic catalyst.…”

Section: Introductionmentioning

confidence: 99%

“…Some is generated by injection of wash water to prevent salt deposition inside pipes or equipment such as heat exchangers. According to Coelho et al, 3 typical sour water production in large refineries is between 0.2 and 0.5 m 3 ton -1 of crude oil processed.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Stripped sour water treatment by advanced oxidation processes

Guimarães¹,

Gasparini²,

Maniero³

et al. 2012

J. Braz. Chem. Soc.

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Section: Photolysis (Uv)supporting

confidence: 87%

Section: Photolysis (Uv)mentioning

confidence: 58%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Stripped sour water treatment by advanced oxidation processes

Guimarães¹,

Gasparini²,

Maniero³

et al. 2012

J. Braz. Chem. Soc.

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“…The petroleum refinery and petrochemical industries are two of the largest industries in Iran [8]. Wastewater generated by petroleum industries is very complex, and includes several inorganic and organic components, such as emulsified oil, sulfides, ammonia, cyanides and especially phenol and phenolic derivatives [41].…”

Section: Introductionmentioning

confidence: 99%

Process modeling and evaluation of petroleum refinery wastewater treatment through response surface methodology and artificial neural network in a photocatalytic reactor using poly ethyleneimine (PEI)/titania (TiO2) multilayer film on quartz tube

et al. 2014

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In this study, poly ethyleneimine (PEI)/Titania (TiO 2 ) multilayer film on quartz tubes have been successfully fabricated via a layer-by-layer (LbL) self-assembly method. Scanning electron microscopy (SEM) and Brunauer-Emmett-Teller (BET) surface area analysis were carried out for characterization of the layers on quartz tube. The SEM pictures showed that the film surface is smooth and uniform. The BET characterization verified the formation of multilayer thin film. The photocatalytic activity of the PEI/TiO 2 multilayer deposited on the quartz tubes was evaluated in the treatment of raw petroleum refinery wastewater (PRW) under UV light irradiation in three annular photocatalytic reactors. This study examined the impact of initial chemical oxygen demand (COD) concentration, H 2 O 2 concentration, pH and reaction time on the PRW treatment and the results were used to generate both a response surface methodology (RSM) model and an artificial neural network (ANN) model. Maximum COD removal (98 %) was achieved at the optimum conditions (initial COD concentration of 300 mg/l, hydrogen peroxide concentration of 8.8 mM, pH of 5 and reaction time of 120 min). A comparison between the model results and experimental data gave a high correlation coefficient (R ANN 2 = 0.9632, R RSM 2 = 0.943) and showed that two models were able to predict COD removal from PRW by PEI/TiO 2 /UV process. However, ANN model was superior to RSM model with higher value of coefficient of determination (0.9632 ANN [ 0.94 RSM ) and the lower root mean square error (RMSE) (3.377 AAN \ 3.569 RSM ). The average percentage error for ANN and RSM models was 0.18 and 0.73, respectively, indicating the superiority of ANN in capturing the nonlinear behavior of the system. It was clear that the best networks were able to predict the experimental responses more accurately than the multiple regression analysis.

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Bibliography and Further Reading

Bahadori

2013

Waste Management in the Chemical and Petroleum Industries

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Treatment of petroleum refinery sourwater by advanced oxidation processes

Cited by 269 publications

References 8 publications

Stripped sour water treatment by advanced oxidation processes

Stripped sour water treatment by advanced oxidation processes

Process modeling and evaluation of petroleum refinery wastewater treatment through response surface methodology and artificial neural network in a photocatalytic reactor using poly ethyleneimine (PEI)/titania (TiO2) multilayer film on quartz tube

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