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Research on Adaptability Evaluation Method of Polymer by Nuclear Magnetic Resonance Technology
In order to study the matching relationship between polymer(HPAM) molecular weight and reservoir permeability, in this paper, the injection performance of polymers with different molecular weights in rock cores with different permeability is studied. Using nuclear magnetic resonance technology combi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960621/ https://www.ncbi.nlm.nih.gov/pubmed/36850217 http://dx.doi.org/10.3390/polym15040930 |
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author | Wang, Xiaocong Lei, Qun Luo, Jianhui Xiao, Peiwen Wang, Pingmei Ye, Yinzhu Cong, Sunan Han, Xue He, Lipeng |
author_facet | Wang, Xiaocong Lei, Qun Luo, Jianhui Xiao, Peiwen Wang, Pingmei Ye, Yinzhu Cong, Sunan Han, Xue He, Lipeng |
author_sort | Wang, Xiaocong |
collection | PubMed |
description | In order to study the matching relationship between polymer(HPAM) molecular weight and reservoir permeability, in this paper, the injection performance of polymers with different molecular weights in rock cores with different permeability is studied. Using nuclear magnetic resonance technology combined with conventional core displacement equipment, the change law of the displacement process was analyzed from three aspects of nuclear magnetic resonance T(2) spectrum, core layering, and imaging. Finally, the fluidity of the polymer solution in the core was analyzed by injection pressure control features. The experimental results show that the polymer solution with a molecular weight of 25 million has the best retention effect in the core flooding experiment and can stay in the dominant channel of the core for a long time to control the water flooding mobility. In rocks with a permeability of 500, 1000, and 2000 mD, subsequent water flooding can expand the swept volume by about 25% compared with polymer flooding. This method can effectively establish the adaptability matching relationship between the polymer molecular weight and the reservoir permeability. |
format | Online Article Text |
id | pubmed-9960621 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99606212023-02-26 Research on Adaptability Evaluation Method of Polymer by Nuclear Magnetic Resonance Technology Wang, Xiaocong Lei, Qun Luo, Jianhui Xiao, Peiwen Wang, Pingmei Ye, Yinzhu Cong, Sunan Han, Xue He, Lipeng Polymers (Basel) Article In order to study the matching relationship between polymer(HPAM) molecular weight and reservoir permeability, in this paper, the injection performance of polymers with different molecular weights in rock cores with different permeability is studied. Using nuclear magnetic resonance technology combined with conventional core displacement equipment, the change law of the displacement process was analyzed from three aspects of nuclear magnetic resonance T(2) spectrum, core layering, and imaging. Finally, the fluidity of the polymer solution in the core was analyzed by injection pressure control features. The experimental results show that the polymer solution with a molecular weight of 25 million has the best retention effect in the core flooding experiment and can stay in the dominant channel of the core for a long time to control the water flooding mobility. In rocks with a permeability of 500, 1000, and 2000 mD, subsequent water flooding can expand the swept volume by about 25% compared with polymer flooding. This method can effectively establish the adaptability matching relationship between the polymer molecular weight and the reservoir permeability. MDPI 2023-02-13 /pmc/articles/PMC9960621/ /pubmed/36850217 http://dx.doi.org/10.3390/polym15040930 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Xiaocong Lei, Qun Luo, Jianhui Xiao, Peiwen Wang, Pingmei Ye, Yinzhu Cong, Sunan Han, Xue He, Lipeng Research on Adaptability Evaluation Method of Polymer by Nuclear Magnetic Resonance Technology |
title | Research on Adaptability Evaluation Method of Polymer by Nuclear Magnetic Resonance Technology |
title_full | Research on Adaptability Evaluation Method of Polymer by Nuclear Magnetic Resonance Technology |
title_fullStr | Research on Adaptability Evaluation Method of Polymer by Nuclear Magnetic Resonance Technology |
title_full_unstemmed | Research on Adaptability Evaluation Method of Polymer by Nuclear Magnetic Resonance Technology |
title_short | Research on Adaptability Evaluation Method of Polymer by Nuclear Magnetic Resonance Technology |
title_sort | research on adaptability evaluation method of polymer by nuclear magnetic resonance technology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960621/ https://www.ncbi.nlm.nih.gov/pubmed/36850217 http://dx.doi.org/10.3390/polym15040930 |
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