Experimental and data-driven analysis for predicting nanofluid performance in improving foam stability and reducing mobility at critical micelle concentration
Abstract Application of surfactant-based foam flooding is an effective approach to reduce mobility and control early breakthrough. Despite the proper performance of surfactant-based foams in decreasing the channeling of the flooded gas and water, high pressure, high temperature, and high salinity of...
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Nature Portfolio
2024-04-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-024-58609-3 |
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author | Miras Issakhov Maral Khanjani Adiya Muratkhozhina Peyman Pourafshary Saule Aidarova Altynay Sharipova |
author_facet | Miras Issakhov Maral Khanjani Adiya Muratkhozhina Peyman Pourafshary Saule Aidarova Altynay Sharipova |
author_sort | Miras Issakhov |
collection | DOAJ |
description | Abstract Application of surfactant-based foam flooding is an effective approach to reduce mobility and control early breakthrough. Despite the proper performance of surfactant-based foams in decreasing the channeling of the flooded gas and water, high pressure, high temperature, and high salinity of the reservoirs put some limitations on the foam flooding efficiency. Nanoparticles are used to improve the quality of the foams, enhance stability, and transcend the limitations. Although there are many benefits of using nanoparticles in foam flooding, their performance at surfactant critical micelle concentration (CMC) is not fully investigated and the optimum nanoparticle concentration is not specified. In this study, an experimental investigation using nanosilica with surfactants at CMC to improve the stability (half-life) and mobility reduction factor (MRF) has been conducted. Furthermore, data from the literature were collected and analyzed to evaluate the change in MRF and stability for a nanofluid-based foam at CMC. Both experimental results and literature data showed that application of nanofluid-based foam is a successful approach to develop a more stable foam with lower mobility. Nanoparticle (NP) concentration is the dominant parameter at different salinities and temperatures that affects foam flow through porous media. The range of 0.2–0.4 wt% is the optimum nanoparticle concentration to develop a strong foam with acceptable performance in controlling mobility. |
first_indexed | 2024-04-24T12:40:47Z |
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id | doaj.art-a8ff8f5329914207b9e1381ccd7b556c |
institution | Directory Open Access Journal |
issn | 2045-2322 |
language | English |
last_indexed | 2024-04-24T12:40:47Z |
publishDate | 2024-04-01 |
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spelling | doaj.art-a8ff8f5329914207b9e1381ccd7b556c2024-04-07T11:15:33ZengNature PortfolioScientific Reports2045-23222024-04-0114111210.1038/s41598-024-58609-3Experimental and data-driven analysis for predicting nanofluid performance in improving foam stability and reducing mobility at critical micelle concentrationMiras Issakhov0Maral Khanjani1Adiya Muratkhozhina2Peyman Pourafshary3Saule Aidarova4Altynay Sharipova5Kazakh-British Technical UniversitySchool of Mining and Geosciences, Nazarbayev UniversitySchool of Mining and Geosciences, Nazarbayev UniversitySchool of Mining and Geosciences, Nazarbayev UniversityKazakh-British Technical UniversitySatbayev UniversityAbstract Application of surfactant-based foam flooding is an effective approach to reduce mobility and control early breakthrough. Despite the proper performance of surfactant-based foams in decreasing the channeling of the flooded gas and water, high pressure, high temperature, and high salinity of the reservoirs put some limitations on the foam flooding efficiency. Nanoparticles are used to improve the quality of the foams, enhance stability, and transcend the limitations. Although there are many benefits of using nanoparticles in foam flooding, their performance at surfactant critical micelle concentration (CMC) is not fully investigated and the optimum nanoparticle concentration is not specified. In this study, an experimental investigation using nanosilica with surfactants at CMC to improve the stability (half-life) and mobility reduction factor (MRF) has been conducted. Furthermore, data from the literature were collected and analyzed to evaluate the change in MRF and stability for a nanofluid-based foam at CMC. Both experimental results and literature data showed that application of nanofluid-based foam is a successful approach to develop a more stable foam with lower mobility. Nanoparticle (NP) concentration is the dominant parameter at different salinities and temperatures that affects foam flow through porous media. The range of 0.2–0.4 wt% is the optimum nanoparticle concentration to develop a strong foam with acceptable performance in controlling mobility.https://doi.org/10.1038/s41598-024-58609-3 |
spellingShingle | Miras Issakhov Maral Khanjani Adiya Muratkhozhina Peyman Pourafshary Saule Aidarova Altynay Sharipova Experimental and data-driven analysis for predicting nanofluid performance in improving foam stability and reducing mobility at critical micelle concentration Scientific Reports |
title | Experimental and data-driven analysis for predicting nanofluid performance in improving foam stability and reducing mobility at critical micelle concentration |
title_full | Experimental and data-driven analysis for predicting nanofluid performance in improving foam stability and reducing mobility at critical micelle concentration |
title_fullStr | Experimental and data-driven analysis for predicting nanofluid performance in improving foam stability and reducing mobility at critical micelle concentration |
title_full_unstemmed | Experimental and data-driven analysis for predicting nanofluid performance in improving foam stability and reducing mobility at critical micelle concentration |
title_short | Experimental and data-driven analysis for predicting nanofluid performance in improving foam stability and reducing mobility at critical micelle concentration |
title_sort | experimental and data driven analysis for predicting nanofluid performance in improving foam stability and reducing mobility at critical micelle concentration |
url | https://doi.org/10.1038/s41598-024-58609-3 |
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