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Impacto dos crudes na concentração de fenóis no efluente aquoso industrial
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Este trabalho teve como objetivo estabelecer correlações entre a mistura de crudes alimentada à refinaria e os compostos fenólicos presentes nos efluentes aquosos, assim como se existe alguma correlação com as condições de operação do fluid catalytic cracker (FCC) e visbreaker.
Para dois períodos tempo, entre 2017 e 2019 (Pré IMO, enxofre presente no fuel < 3,5% m/m) e entre 2020 e 2021 (Pós IMO, enxofre presente no fuel < 0,5% m/m), foram desenvolvidos modelos black box: regressão por mínimos quadrados parciais (PLS) e clustering. Conclui-se que para o período pré IMO 2020, crudes com origem na Nigéria, Venezuela, Argélia, Angola e Gana, têm um impacto significativo na concentração média de fenóis presente no efluente industrial. Para um período pós IMO 2020, verificam-se alterações no blending de crudes alimentado à refinaria. As regiões que têm o maior impacto na concentração média de fenóis presentes no efluente industrial é a Angola e o Gana. Sendo que estas duas regiões também têm um impacto significativo na concentração máxima de fenóis, assim como a Nigéria. A PLS desenvolvida tem a capacidade de explicar a variação de 60,1% da concentração de fenóis, com base nas ramas de crudes alimentadas à fábrica.
Através da amostragem realizada, entre 31/05/2022 e 12/07/2022, para determinar a concentração de fenóis presente no efluente do stripper de águas ácidas e com recurso à análise dos componentes principais (PCA) desenvolvida, foi observada uma correlação de 0,2959 entre a concentração de fenóis no efluente do stripper de águas ácidas e a temperatura de operação do visbreaker, sendo que não foi possível estabelecer uma correlação com temperatura de operação do FCC.
O trabalho realizado oferece uma visão sobre os tipos de crude que mais influenciam a concentração de fenóis no efluente industrial, permitindo assim ajustar o blending de crudes alimentado à refinaria.
This work aimed to establish correlations between the blend of crude oils fed to the refinery and the phenolic compounds present in aqueous effluents, as well as whether there is any correlation with the operating conditions of the fluid catalytic cracker (FCC) and visbreaker. For two time periods, between 2017 and 2019 (Pre-IMO, sulfur present in fuel <3.5% m/m) and between 2020 and 2021 (Post-IMO, sulfur present in fuel <0.5% m/m), black box models were developed: partial least squares regression (PLS) and clustering. It is concluded that for the pre-IMO 2020 period, crudes originating from Nigeria, Venezuela, Algeria, Angola, and Ghana have a significant impact on the average concentration of phenols present in the industrial effluent. For a post-IMO 2020 period, changes in the blending of crude oils fed to the refinery are observed. The regions that have the greatest impact on the average concentration of phenols present in the industrial effluent are Angola and Ghana. These two regions also have a significant impact on the maximum concentration of phenols, as well as Nigeria. The developed PLS model can explain 60.1% of the variation in phenol concentration, based on the branches of crude oils fed to the factory. Through the sampling carried out between 31/05/2022 and 12/07/2022, to determine the concentration of phenols present in the effluent of the sour water stripper and using the developed principal component analysis (PCA), a correlation of 0.2959 was observed between the concentration of phenols in the effluent of the sour water stripper and the operating temperature of the visbreaker, whereas it was not possible to establish a correlation with the operating temperature of the FCC. The work carried out provides insight into the types of crude oils that most influence the concentration of phenols in the industrial effluent, thus allowing for adjustments in the blending of crude oils fed to the refinery.
This work aimed to establish correlations between the blend of crude oils fed to the refinery and the phenolic compounds present in aqueous effluents, as well as whether there is any correlation with the operating conditions of the fluid catalytic cracker (FCC) and visbreaker. For two time periods, between 2017 and 2019 (Pre-IMO, sulfur present in fuel <3.5% m/m) and between 2020 and 2021 (Post-IMO, sulfur present in fuel <0.5% m/m), black box models were developed: partial least squares regression (PLS) and clustering. It is concluded that for the pre-IMO 2020 period, crudes originating from Nigeria, Venezuela, Algeria, Angola, and Ghana have a significant impact on the average concentration of phenols present in the industrial effluent. For a post-IMO 2020 period, changes in the blending of crude oils fed to the refinery are observed. The regions that have the greatest impact on the average concentration of phenols present in the industrial effluent are Angola and Ghana. These two regions also have a significant impact on the maximum concentration of phenols, as well as Nigeria. The developed PLS model can explain 60.1% of the variation in phenol concentration, based on the branches of crude oils fed to the factory. Through the sampling carried out between 31/05/2022 and 12/07/2022, to determine the concentration of phenols present in the effluent of the sour water stripper and using the developed principal component analysis (PCA), a correlation of 0.2959 was observed between the concentration of phenols in the effluent of the sour water stripper and the operating temperature of the visbreaker, whereas it was not possible to establish a correlation with the operating temperature of the FCC. The work carried out provides insight into the types of crude oils that most influence the concentration of phenols in the industrial effluent, thus allowing for adjustments in the blending of crude oils fed to the refinery.
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Palavras-chave
Efluente de Refinaria Compostos fenólicos Crude FCC Visbreaker Modelos black box