Separation emulsion via non-ionic surfactant: an optimization

Achieving emulsion stability in the petroleum industry is a major challenge due to several problems encountered in the oil refining process, such as corrosion in equipment, high-pressure drops in pipelines, and catalyst poisoning in upstream facilities. Thus, several methods are applied for emulsion...

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Main Authors: Abdulredha, Murtada Mohammed, Hussain, Siti Aslina, Abdullah, Luqman Chuah
Format: Article
Language:English
Published: MDPI 2019
Online Access:http://psasir.upm.edu.my/id/eprint/38353/1/38353.pdf
http://psasir.upm.edu.my/id/eprint/38353/
https://www.mdpi.com/2227-9717/7/6/382
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Institution: Universiti Putra Malaysia
Language: English
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spelling my.upm.eprints.383532020-05-04T16:22:11Z http://psasir.upm.edu.my/id/eprint/38353/ Separation emulsion via non-ionic surfactant: an optimization Abdulredha, Murtada Mohammed Hussain, Siti Aslina Abdullah, Luqman Chuah Achieving emulsion stability in the petroleum industry is a major challenge due to several problems encountered in the oil refining process, such as corrosion in equipment, high-pressure drops in pipelines, and catalyst poisoning in upstream facilities. Thus, several methods are applied for emulsion treatment and chemical treatment using surface-active agents, a fundamental method in the petroleum industry. The present work investigated the performance of a non-ionic surfactant in separating water in a crude oil emulsion via the bottle test technique. Then, a Fractional Factorial Design (2K−1) was used to characterise the effect of significant variables. In particular, a Pareto chart was employed and factors such as demulsifier dosage, toluene concentration, pressure, sitting time, and temperature were investigated. Accordingly, the parameters applied were further analysed using a Central Composite Design (CCD) based on the Response Surface Method (RSM). The experimental results based on analysis of Variance (ANOVA) show that demulsifier dosage, temperature, and sedimentation times were the main variables affecting the dehydration process, with the highest F-values being 564.74, 94.53 and 78.65 respectively. The increase in the surfactant dosage before critical concentration, temperature and sitting time leads to boosting dehydration efficiency. In addition, a mathematical model was established for the variables, with a coefficient of determination value of 0.9688. Finally, numerical optimisation was performed on the variables and the results show that the optimal values are 1000 ppm, 15.5 mL, −400 mmHg, 120 min, and 90 °C, for demulsifier dosage, toluene concentration, pressure, sitting time, and temperature, respectively. MDPI 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/38353/1/38353.pdf Abdulredha, Murtada Mohammed and Hussain, Siti Aslina and Abdullah, Luqman Chuah (2019) Separation emulsion via non-ionic surfactant: an optimization. Processes, 7 (6). art. no. 382. pp. 1-18. ISSN 2227-9717 https://www.mdpi.com/2227-9717/7/6/382 10.3390/pr7060382
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Achieving emulsion stability in the petroleum industry is a major challenge due to several problems encountered in the oil refining process, such as corrosion in equipment, high-pressure drops in pipelines, and catalyst poisoning in upstream facilities. Thus, several methods are applied for emulsion treatment and chemical treatment using surface-active agents, a fundamental method in the petroleum industry. The present work investigated the performance of a non-ionic surfactant in separating water in a crude oil emulsion via the bottle test technique. Then, a Fractional Factorial Design (2K−1) was used to characterise the effect of significant variables. In particular, a Pareto chart was employed and factors such as demulsifier dosage, toluene concentration, pressure, sitting time, and temperature were investigated. Accordingly, the parameters applied were further analysed using a Central Composite Design (CCD) based on the Response Surface Method (RSM). The experimental results based on analysis of Variance (ANOVA) show that demulsifier dosage, temperature, and sedimentation times were the main variables affecting the dehydration process, with the highest F-values being 564.74, 94.53 and 78.65 respectively. The increase in the surfactant dosage before critical concentration, temperature and sitting time leads to boosting dehydration efficiency. In addition, a mathematical model was established for the variables, with a coefficient of determination value of 0.9688. Finally, numerical optimisation was performed on the variables and the results show that the optimal values are 1000 ppm, 15.5 mL, −400 mmHg, 120 min, and 90 °C, for demulsifier dosage, toluene concentration, pressure, sitting time, and temperature, respectively.
format Article
author Abdulredha, Murtada Mohammed
Hussain, Siti Aslina
Abdullah, Luqman Chuah
spellingShingle Abdulredha, Murtada Mohammed
Hussain, Siti Aslina
Abdullah, Luqman Chuah
Separation emulsion via non-ionic surfactant: an optimization
author_facet Abdulredha, Murtada Mohammed
Hussain, Siti Aslina
Abdullah, Luqman Chuah
author_sort Abdulredha, Murtada Mohammed
title Separation emulsion via non-ionic surfactant: an optimization
title_short Separation emulsion via non-ionic surfactant: an optimization
title_full Separation emulsion via non-ionic surfactant: an optimization
title_fullStr Separation emulsion via non-ionic surfactant: an optimization
title_full_unstemmed Separation emulsion via non-ionic surfactant: an optimization
title_sort separation emulsion via non-ionic surfactant: an optimization
publisher MDPI
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/38353/1/38353.pdf
http://psasir.upm.edu.my/id/eprint/38353/
https://www.mdpi.com/2227-9717/7/6/382
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