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Surface-Functionalized Superparamagnetic Nanoparticles (SPNs) for Enhanced Oil Recovery: Effects of Surface Modifiers and Their Architectures
[Image: see text] Superparamagnetic nanoparticles (SPNs) have been considered as one of the most studied nanomaterials for subsurface applications, including in enhanced oil recovery (EOR), due to their unique physicochemical properties. However, a comprehensive understanding of the effect of surfac...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6921627/ https://www.ncbi.nlm.nih.gov/pubmed/31867543 http://dx.doi.org/10.1021/acsomega.9b03174 |
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author | Khalil, Munawar Aulia, Ghufran Budianto, Emil Mohamed Jan, Badrul Habib, Saiful Hafiz Amir, Zulhelmi Abdul Patah, Muhamad Fazly |
author_facet | Khalil, Munawar Aulia, Ghufran Budianto, Emil Mohamed Jan, Badrul Habib, Saiful Hafiz Amir, Zulhelmi Abdul Patah, Muhamad Fazly |
author_sort | Khalil, Munawar |
collection | PubMed |
description | [Image: see text] Superparamagnetic nanoparticles (SPNs) have been considered as one of the most studied nanomaterials for subsurface applications, including in enhanced oil recovery (EOR), due to their unique physicochemical properties. However, a comprehensive understanding of the effect of surface functionalization on the ability of the nanoparticles to improve secondary and tertiary oil recoveries remains unclear. Therefore, investigations on the application of bare and surface-functionalized SPNs in EOR using a sand pack were carried out in this study. Here, the as-prepared SPNs were functionalized using oleic acid (OA) and polyacrylamide (PAM) to obtain several types of nanostructure architectures such as OA-SPN, core–shell SPN@PAM, and SPN-PAM. Based on the result, it is found that both the viscosity and mobility of the nanofluids were significantly affected by not only the concentration of the nanoparticles but also the type and architecture of the surface modifier, which dictated particle hydrophilicity. According to the sand pack tests, the nanofluid containing SPN-PAM was able to recover as much as 19.28% of additional oil in a relatively low concentration (0.9% w/v). The high oil recovery enhancement was presumably due to the ability of suspended SPN-PAM to act as a mobility control and wettability alteration agent and facilitate the formation of a Pickering emulsion and disjoining pressure. |
format | Online Article Text |
id | pubmed-6921627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Chemical
Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-69216272019-12-20 Surface-Functionalized Superparamagnetic Nanoparticles (SPNs) for Enhanced Oil Recovery: Effects of Surface Modifiers and Their Architectures Khalil, Munawar Aulia, Ghufran Budianto, Emil Mohamed Jan, Badrul Habib, Saiful Hafiz Amir, Zulhelmi Abdul Patah, Muhamad Fazly ACS Omega [Image: see text] Superparamagnetic nanoparticles (SPNs) have been considered as one of the most studied nanomaterials for subsurface applications, including in enhanced oil recovery (EOR), due to their unique physicochemical properties. However, a comprehensive understanding of the effect of surface functionalization on the ability of the nanoparticles to improve secondary and tertiary oil recoveries remains unclear. Therefore, investigations on the application of bare and surface-functionalized SPNs in EOR using a sand pack were carried out in this study. Here, the as-prepared SPNs were functionalized using oleic acid (OA) and polyacrylamide (PAM) to obtain several types of nanostructure architectures such as OA-SPN, core–shell SPN@PAM, and SPN-PAM. Based on the result, it is found that both the viscosity and mobility of the nanofluids were significantly affected by not only the concentration of the nanoparticles but also the type and architecture of the surface modifier, which dictated particle hydrophilicity. According to the sand pack tests, the nanofluid containing SPN-PAM was able to recover as much as 19.28% of additional oil in a relatively low concentration (0.9% w/v). The high oil recovery enhancement was presumably due to the ability of suspended SPN-PAM to act as a mobility control and wettability alteration agent and facilitate the formation of a Pickering emulsion and disjoining pressure. American Chemical Society 2019-12-03 /pmc/articles/PMC6921627/ /pubmed/31867543 http://dx.doi.org/10.1021/acsomega.9b03174 Text en Copyright © 2019 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Khalil, Munawar Aulia, Ghufran Budianto, Emil Mohamed Jan, Badrul Habib, Saiful Hafiz Amir, Zulhelmi Abdul Patah, Muhamad Fazly Surface-Functionalized Superparamagnetic Nanoparticles (SPNs) for Enhanced Oil Recovery: Effects of Surface Modifiers and Their Architectures |
title | Surface-Functionalized
Superparamagnetic Nanoparticles
(SPNs) for Enhanced Oil Recovery: Effects of Surface Modifiers and
Their Architectures |
title_full | Surface-Functionalized
Superparamagnetic Nanoparticles
(SPNs) for Enhanced Oil Recovery: Effects of Surface Modifiers and
Their Architectures |
title_fullStr | Surface-Functionalized
Superparamagnetic Nanoparticles
(SPNs) for Enhanced Oil Recovery: Effects of Surface Modifiers and
Their Architectures |
title_full_unstemmed | Surface-Functionalized
Superparamagnetic Nanoparticles
(SPNs) for Enhanced Oil Recovery: Effects of Surface Modifiers and
Their Architectures |
title_short | Surface-Functionalized
Superparamagnetic Nanoparticles
(SPNs) for Enhanced Oil Recovery: Effects of Surface Modifiers and
Their Architectures |
title_sort | surface-functionalized
superparamagnetic nanoparticles
(spns) for enhanced oil recovery: effects of surface modifiers and
their architectures |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6921627/ https://www.ncbi.nlm.nih.gov/pubmed/31867543 http://dx.doi.org/10.1021/acsomega.9b03174 |
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