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A simulation study on hydrogel performance for enhanced oil recovery using phase-field method
Hydrogels are increasingly applied in oil recovery processes. This leads to more controlled flow of fluids in porous media. In this process, hydrogel is injected to the reservoir to block the high permeability areas. The trapped oil in low permeability regions, is then swept by water flooding. pH‐se...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837784/ https://www.ncbi.nlm.nih.gov/pubmed/35149758 http://dx.doi.org/10.1038/s41598-022-06388-0 |
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author | Hayatolgheibi, Seyed Hosein Ameli, Forough Moghbeli, Mohammad Reza |
author_facet | Hayatolgheibi, Seyed Hosein Ameli, Forough Moghbeli, Mohammad Reza |
author_sort | Hayatolgheibi, Seyed Hosein |
collection | PubMed |
description | Hydrogels are increasingly applied in oil recovery processes. This leads to more controlled flow of fluids in porous media. In this process, hydrogel is injected to the reservoir to block the high permeability areas. The trapped oil in low permeability regions, is then swept by water flooding. pH‐sensitive hydrogel microspheres were synthesized in another work of the authors, which effectively increased the oil recovery factor in experimental studies. In this communication, phase-field approach was used to simulate this process and to obtain the tuning parameters of the model including thickness of the contact surface (є), phase transform parameter (M(0)), and excess free energy (∧). Diffusion of hydrogels was studied by Cahn–Hilliard conservative approach and the breakage, deformation, and plugging mechanisms were analyzed, based on pressure drop variations in micromodel. Moreover, Effective parameters on oil recovery factor were analyzed. Results indicated a good agreement between experimental and modeling studies of oil recovery factor in water and hydrogel flooding with absolute errors of 2.29% and 4.06%, respectively. The recovery factor was calculated using a statistical method which was in good agreement with the modeling results. The tuned parameters of the model were reported as, є = 111.7 µm, M(0) = 5 × 10(−13) m(3)/s, [Formula: see text] J/m(3). |
format | Online Article Text |
id | pubmed-8837784 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88377842022-02-16 A simulation study on hydrogel performance for enhanced oil recovery using phase-field method Hayatolgheibi, Seyed Hosein Ameli, Forough Moghbeli, Mohammad Reza Sci Rep Article Hydrogels are increasingly applied in oil recovery processes. This leads to more controlled flow of fluids in porous media. In this process, hydrogel is injected to the reservoir to block the high permeability areas. The trapped oil in low permeability regions, is then swept by water flooding. pH‐sensitive hydrogel microspheres were synthesized in another work of the authors, which effectively increased the oil recovery factor in experimental studies. In this communication, phase-field approach was used to simulate this process and to obtain the tuning parameters of the model including thickness of the contact surface (є), phase transform parameter (M(0)), and excess free energy (∧). Diffusion of hydrogels was studied by Cahn–Hilliard conservative approach and the breakage, deformation, and plugging mechanisms were analyzed, based on pressure drop variations in micromodel. Moreover, Effective parameters on oil recovery factor were analyzed. Results indicated a good agreement between experimental and modeling studies of oil recovery factor in water and hydrogel flooding with absolute errors of 2.29% and 4.06%, respectively. The recovery factor was calculated using a statistical method which was in good agreement with the modeling results. The tuned parameters of the model were reported as, є = 111.7 µm, M(0) = 5 × 10(−13) m(3)/s, [Formula: see text] J/m(3). Nature Publishing Group UK 2022-02-11 /pmc/articles/PMC8837784/ /pubmed/35149758 http://dx.doi.org/10.1038/s41598-022-06388-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Hayatolgheibi, Seyed Hosein Ameli, Forough Moghbeli, Mohammad Reza A simulation study on hydrogel performance for enhanced oil recovery using phase-field method |
title | A simulation study on hydrogel performance for enhanced oil recovery using phase-field method |
title_full | A simulation study on hydrogel performance for enhanced oil recovery using phase-field method |
title_fullStr | A simulation study on hydrogel performance for enhanced oil recovery using phase-field method |
title_full_unstemmed | A simulation study on hydrogel performance for enhanced oil recovery using phase-field method |
title_short | A simulation study on hydrogel performance for enhanced oil recovery using phase-field method |
title_sort | simulation study on hydrogel performance for enhanced oil recovery using phase-field method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837784/ https://www.ncbi.nlm.nih.gov/pubmed/35149758 http://dx.doi.org/10.1038/s41598-022-06388-0 |
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