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Silica Nanoparticle Enhancement in the Efficiency of Surfactant Flooding of Heavy Oil in a Glass Micromodel
Industrial & Engineering Chemistry Research
Swansea University Authors: Shirin Alexander , Andrew Barron
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DOI (Published version): 10.1021/acs.iecr.7b01675
Abstract
The synergic effects of fumed-Si nanoparticles (Si-NPs) in combination with sodium dodecyl sulfate (SDS) surfactant as suitable agents for oil displacing in enhanced oil recovery (EOR) are evaluated using a 5-spot glass micromodel. Optimum oil recovery (45%) is obtained for SDS near the critical mic...
Published in: | Industrial & Engineering Chemistry Research |
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ISSN: | 0888-5885 1520-5045 |
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2017
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URI: | https://cronfa.swan.ac.uk/Record/cronfa34698 |
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2020-06-22T15:24:45.8866961 v2 34698 2017-07-19 Silica Nanoparticle Enhancement in the Efficiency of Surfactant Flooding of Heavy Oil in a Glass Micromodel 0773cc55f7caf77817be08806b8b7497 0000-0002-4404-0026 Shirin Alexander Shirin Alexander true false 92e452f20936d688d36f91c78574241d 0000-0002-2018-8288 Andrew Barron Andrew Barron true false 2017-07-19 CHEG The synergic effects of fumed-Si nanoparticles (Si-NPs) in combination with sodium dodecyl sulfate (SDS) surfactant as suitable agents for oil displacing in enhanced oil recovery (EOR) are evaluated using a 5-spot glass micromodel. Optimum oil recovery (45%) is obtained for SDS near the critical micelle concentration; however, the addition of fumed silica nanoparticles (Si-NPs) enables a further 13% enhancement in oil recovery for the maximum concentration of the SDS/Si-NPs (2.2 wt.%), as well as delaying the breakthrough point. The optimum mass ratio of SDS:Si-NP (1:11) suggests that the Si-NPs are aggregated by the SDS micelles; consistent with increased viscosity upon addition of Si-NPs. The presence of the Si-NPs also greatly increases the wettability on the glass surface, with a decrease in the contact angle from 73° for SDS (1800 ppm) to 11° for SDS/Si-NPs (1800 ppm/2.0 wt.%). The effective changes in the oil sweeping mechanism are directly observed in glass micromodel and correlate to these physical measurements. The results demonstrated the addition of Si-NPs to SDS solutions made a significant improvement to oil recovery values and potentially beneficial in EOR applications. Journal Article Industrial & Engineering Chemistry Research 0888-5885 1520-5045 31 12 2017 2017-12-31 10.1021/acs.iecr.7b01675 COLLEGE NANME Chemical Engineering COLLEGE CODE CHEG Swansea University 2020-06-22T15:24:45.8866961 2017-07-19T15:55:52.7492289 Faculty of Science and Engineering School of Engineering and Applied Sciences - Chemical Engineering Goshtasp Cheraghian 1 Sajad Kiani 2 Nashaat N. Nassar 3 Shirin Alexander 0000-0002-4404-0026 4 Andrew Barron 0000-0002-2018-8288 5 0034698-19072017155808.pdf cheraghian2017.pdf 2017-07-19T15:58:08.4700000 Output 1818994 application/pdf Accepted Manuscript true 2018-07-11T00:00:00.0000000 false eng |
title |
Silica Nanoparticle Enhancement in the Efficiency of Surfactant Flooding of Heavy Oil in a Glass Micromodel |
spellingShingle |
Silica Nanoparticle Enhancement in the Efficiency of Surfactant Flooding of Heavy Oil in a Glass Micromodel Shirin Alexander Andrew Barron |
title_short |
Silica Nanoparticle Enhancement in the Efficiency of Surfactant Flooding of Heavy Oil in a Glass Micromodel |
title_full |
Silica Nanoparticle Enhancement in the Efficiency of Surfactant Flooding of Heavy Oil in a Glass Micromodel |
title_fullStr |
Silica Nanoparticle Enhancement in the Efficiency of Surfactant Flooding of Heavy Oil in a Glass Micromodel |
title_full_unstemmed |
Silica Nanoparticle Enhancement in the Efficiency of Surfactant Flooding of Heavy Oil in a Glass Micromodel |
title_sort |
Silica Nanoparticle Enhancement in the Efficiency of Surfactant Flooding of Heavy Oil in a Glass Micromodel |
author_id_str_mv |
0773cc55f7caf77817be08806b8b7497 92e452f20936d688d36f91c78574241d |
author_id_fullname_str_mv |
0773cc55f7caf77817be08806b8b7497_***_Shirin Alexander 92e452f20936d688d36f91c78574241d_***_Andrew Barron |
author |
Shirin Alexander Andrew Barron |
author2 |
Goshtasp Cheraghian Sajad Kiani Nashaat N. Nassar Shirin Alexander Andrew Barron |
format |
Journal article |
container_title |
Industrial & Engineering Chemistry Research |
publishDate |
2017 |
institution |
Swansea University |
issn |
0888-5885 1520-5045 |
doi_str_mv |
10.1021/acs.iecr.7b01675 |
college_str |
Faculty of Science and Engineering |
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facultyofscienceandengineering |
hierarchy_top_title |
Faculty of Science and Engineering |
hierarchy_parent_id |
facultyofscienceandengineering |
hierarchy_parent_title |
Faculty of Science and Engineering |
department_str |
School of Engineering and Applied Sciences - Chemical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Chemical Engineering |
document_store_str |
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active_str |
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description |
The synergic effects of fumed-Si nanoparticles (Si-NPs) in combination with sodium dodecyl sulfate (SDS) surfactant as suitable agents for oil displacing in enhanced oil recovery (EOR) are evaluated using a 5-spot glass micromodel. Optimum oil recovery (45%) is obtained for SDS near the critical micelle concentration; however, the addition of fumed silica nanoparticles (Si-NPs) enables a further 13% enhancement in oil recovery for the maximum concentration of the SDS/Si-NPs (2.2 wt.%), as well as delaying the breakthrough point. The optimum mass ratio of SDS:Si-NP (1:11) suggests that the Si-NPs are aggregated by the SDS micelles; consistent with increased viscosity upon addition of Si-NPs. The presence of the Si-NPs also greatly increases the wettability on the glass surface, with a decrease in the contact angle from 73° for SDS (1800 ppm) to 11° for SDS/Si-NPs (1800 ppm/2.0 wt.%). The effective changes in the oil sweeping mechanism are directly observed in glass micromodel and correlate to these physical measurements. The results demonstrated the addition of Si-NPs to SDS solutions made a significant improvement to oil recovery values and potentially beneficial in EOR applications. |
published_date |
2017-12-31T03:43:03Z |
_version_ |
1763752000879591424 |
score |
11.037603 |