The Systematic Screening Methodology for Surfactant Flooding Chemicals in Enhanced Oil Recovery

Cholathis Cholpraves; Pattamas  Rattanaudom; Uthaiporn  Suriyapraphadilok; Ampira Charoensaeng; Rafiqul Gani

doi:10.1016/B978-0-444-63965-3.50167-7

The Systematic Screening Methodology for Surfactant Flooding Chemicals in Enhanced Oil Recovery

Cholathis Cholpraves
, Pattamas Rattanaudom
, Uthaiporn Suriyapraphadilok
, Ampira Charoensaeng
, Rafiqul Gani

Chulalongkorn University

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

The product design framework for systematic screening & selection of surfactants consists of four main steps: problem definition, target properties specification, data collection & model development, and screening-selection. The Hydrophilic-Lipophilic Deviation (HLD) value has been identified as the main target property because it is related to the microemulsion type of a surfactant-oil-water system. That is, when the HLD value is zero, the middle-phase microemulsion, which has the lowest interfacial tension of oil and water, is formed. The model for HLD estimation needs a parameter Cc, which is predicted by a group-contribution technique. The developed group-contribution model for anionic surfactants gives relative error equal to 3.5, while the model for non-ionic surfactants does not give very good relative error, mainly because of small values of Cc and not enough data. Nevertheless, the model for non-ionic surfactants is found to be qualitatively correct and so it can be used for surfactant screening-selection. Other properties like melting point, cloud-point, etc., are also used for the screening-selection step. Application of the model-based method is highlighted through two case studies, where the results have been verified experimentally.

Original language	English
Title of host publication	Proceedings of the 27th European Symposium on Computer Aided Process Engineering – ESCAPE 27
Editors	Antonio Espuña, Moisès Graells, Luis Puigjaner
Volume	40
Publisher	Elsevier
Publication date	2017
Pages	991-996
ISBN (Electronic)	978-0-444-63965-3
DOIs	https://doi.org/10.1016/B978-0-444-63965-3.50167-7
Publication status	Published - 2017
Event	27th European Symposium on Computer Aided Process Engineering - Barcelona, Spain Duration: 1 Oct 2017 → 5 Oct 2017 Conference number: 27 https://www.elsevier.com/books/27th-european-symposium-on-computer-aided-process-engineering/espuna/978-0-444-63965-3

Conference

Conference	27th European Symposium on Computer Aided Process Engineering
Number	27
Country/Territory	Spain
City	Barcelona
Period	01/10/2017 → 05/10/2017
Internet address	https://www.elsevier.com/books/27th-european-symposium-on-computer-aided-process-engineering/espuna/978-0-444-63965-3

Series	Computer Aided Chemical Engineering
ISSN	1570-7946

Keywords

Enhanced Oil Recovery
Microemulsion
Surfactant
Group-contribution
Hydrophilic-Lipophilic Deviation

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Cholpraves, C., Rattanaudom, P., Suriyapraphadilok, U., Charoensaeng, A., & Gani, R. (2017). The Systematic Screening Methodology for Surfactant Flooding Chemicals in Enhanced Oil Recovery. In A. Espuña, M. Graells, & L. Puigjaner (Eds.), Proceedings of the 27th European Symposium on Computer Aided Process Engineering – ESCAPE 27 (Vol. 40, pp. 991-996). Elsevier. https://doi.org/10.1016/B978-0-444-63965-3.50167-7

Cholpraves, Cholathis ; Rattanaudom, Pattamas ; Suriyapraphadilok, Uthaiporn et al. / The Systematic Screening Methodology for Surfactant Flooding Chemicals in Enhanced Oil Recovery. Proceedings of the 27th European Symposium on Computer Aided Process Engineering – ESCAPE 27. editor / Antonio Espuña ; Moisès Graells ; Luis Puigjaner. Vol. 40 Elsevier, 2017. pp. 991-996 (Computer Aided Chemical Engineering).

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title = "The Systematic Screening Methodology for Surfactant Flooding Chemicals in Enhanced Oil Recovery",

abstract = "The product design framework for systematic screening \& selection of surfactants consists of four main steps: problem definition, target properties specification, data collection \& model development, and screening-selection. The Hydrophilic-Lipophilic Deviation (HLD) value has been identified as the main target property because it is related to the microemulsion type of a surfactant-oil-water system. That is, when the HLD value is zero, the middle-phase microemulsion, which has the lowest interfacial tension of oil and water, is formed. The model for HLD estimation needs a parameter Cc, which is predicted by a group-contribution technique. The developed group-contribution model for anionic surfactants gives relative error equal to 3.5, while the model for non-ionic surfactants does not give very good relative error, mainly because of small values of Cc and not enough data. Nevertheless, the model for non-ionic surfactants is found to be qualitatively correct and so it can be used for surfactant screening-selection. Other properties like melting point, cloud-point, etc., are also used for the screening-selection step. Application of the model-based method is highlighted through two case studies, where the results have been verified experimentally.",

keywords = "Enhanced Oil Recovery, Microemulsion, Surfactant, Group-contribution, Hydrophilic-Lipophilic Deviation",

author = "Cholathis Cholpraves and Pattamas Rattanaudom and Uthaiporn Suriyapraphadilok and Ampira Charoensaeng and Rafiqul Gani",

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booktitle = "Proceedings of the 27th European Symposium on Computer Aided Process Engineering {\textendash} ESCAPE 27",

address = "United Kingdom",

note = "27th European Symposium on Computer Aided Process Engineering, ESCAPE 27 ; Conference date: 01-10-2017 Through 05-10-2017",

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Cholpraves, C, Rattanaudom, P, Suriyapraphadilok, U, Charoensaeng, A & Gani, R 2017, The Systematic Screening Methodology for Surfactant Flooding Chemicals in Enhanced Oil Recovery. in A Espuña, M Graells & L Puigjaner (eds), Proceedings of the 27th European Symposium on Computer Aided Process Engineering – ESCAPE 27. vol. 40, Elsevier, Computer Aided Chemical Engineering, pp. 991-996, 27th European Symposium on Computer Aided Process Engineering, Barcelona, Spain, 01/10/2017. https://doi.org/10.1016/B978-0-444-63965-3.50167-7

The Systematic Screening Methodology for Surfactant Flooding Chemicals in Enhanced Oil Recovery. / Cholpraves, Cholathis; Rattanaudom, Pattamas ; Suriyapraphadilok, Uthaiporn et al.
Proceedings of the 27th European Symposium on Computer Aided Process Engineering – ESCAPE 27. ed. / Antonio Espuña; Moisès Graells; Luis Puigjaner. Vol. 40 Elsevier, 2017. p. 991-996 (Computer Aided Chemical Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - The Systematic Screening Methodology for Surfactant Flooding Chemicals in Enhanced Oil Recovery

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AU - Rattanaudom, Pattamas

AU - Suriyapraphadilok, Uthaiporn

AU - Charoensaeng, Ampira

AU - Gani, Rafiqul

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AB - The product design framework for systematic screening & selection of surfactants consists of four main steps: problem definition, target properties specification, data collection & model development, and screening-selection. The Hydrophilic-Lipophilic Deviation (HLD) value has been identified as the main target property because it is related to the microemulsion type of a surfactant-oil-water system. That is, when the HLD value is zero, the middle-phase microemulsion, which has the lowest interfacial tension of oil and water, is formed. The model for HLD estimation needs a parameter Cc, which is predicted by a group-contribution technique. The developed group-contribution model for anionic surfactants gives relative error equal to 3.5, while the model for non-ionic surfactants does not give very good relative error, mainly because of small values of Cc and not enough data. Nevertheless, the model for non-ionic surfactants is found to be qualitatively correct and so it can be used for surfactant screening-selection. Other properties like melting point, cloud-point, etc., are also used for the screening-selection step. Application of the model-based method is highlighted through two case studies, where the results have been verified experimentally.

KW - Enhanced Oil Recovery

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KW - Surfactant

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KW - Hydrophilic-Lipophilic Deviation

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DO - 10.1016/B978-0-444-63965-3.50167-7

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T3 - Computer Aided Chemical Engineering

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BT - Proceedings of the 27th European Symposium on Computer Aided Process Engineering – ESCAPE 27

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PB - Elsevier

T2 - 27th European Symposium on Computer Aided Process Engineering

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ER -

Cholpraves C, Rattanaudom P, Suriyapraphadilok U, Charoensaeng A, Gani R. The Systematic Screening Methodology for Surfactant Flooding Chemicals in Enhanced Oil Recovery. In Espuña A, Graells M, Puigjaner L, editors, Proceedings of the 27th European Symposium on Computer Aided Process Engineering – ESCAPE 27. Vol. 40. Elsevier. 2017. p. 991-996. (Computer Aided Chemical Engineering). doi: 10.1016/B978-0-444-63965-3.50167-7

The Systematic Screening Methodology for Surfactant Flooding Chemicals in Enhanced Oil Recovery

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Conference

Keywords

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