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Polymer Injectivity Test Design Using Numerical Simulation

Polymer flooding is an enhanced oil recovery (EOR) process, which has received increasing interest in the industry. In this process, water-soluble polymers are used to increase injected water viscosity in order to improve mobility ratio and hence improve reservoir sweep. Polymer solutions are non-Ne...

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Autores principales: Alzaabi, Mohamed Adel, Gausdal Jacobsen, Jørgen, Masalmeh, Shehadeh, Al Sumaiti, Ali, Pettersen, Øystein, Skauge, Arne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7240407/
https://www.ncbi.nlm.nih.gov/pubmed/32260078
http://dx.doi.org/10.3390/polym12040801
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author Alzaabi, Mohamed Adel
Gausdal Jacobsen, Jørgen
Masalmeh, Shehadeh
Al Sumaiti, Ali
Pettersen, Øystein
Skauge, Arne
author_facet Alzaabi, Mohamed Adel
Gausdal Jacobsen, Jørgen
Masalmeh, Shehadeh
Al Sumaiti, Ali
Pettersen, Øystein
Skauge, Arne
author_sort Alzaabi, Mohamed Adel
collection PubMed
description Polymer flooding is an enhanced oil recovery (EOR) process, which has received increasing interest in the industry. In this process, water-soluble polymers are used to increase injected water viscosity in order to improve mobility ratio and hence improve reservoir sweep. Polymer solutions are non-Newtonian fluids, i.e., their viscosities are shear dependent. Polymers may exhibit an increase in viscosity at high shear rates in porous media, which can cause injectivity loss. In contrast, at low shear rates they may observe viscosity loss and hence enhance the injectivity. Therefore, due to the complex non-Newtonian rheology of polymers, it is necessary to optimize the design of polymer injectivity tests in order to improve our understanding of the rheology behavior and enhance the design of polymer flood projects. This study has been addressing what information that can be gained from polymer injectivity tests, and how to design the test for maximizing information. The main source of information in the field is from the injection bottom-hole pressure (BHP). Simulation studies have analyzed the response of different non-Newtonian rheology on BHP with variations of rate and time. The results have shown that BHP from injectivity tests can be used to detect in-situ polymer rheology.
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spelling pubmed-72404072020-06-02 Polymer Injectivity Test Design Using Numerical Simulation Alzaabi, Mohamed Adel Gausdal Jacobsen, Jørgen Masalmeh, Shehadeh Al Sumaiti, Ali Pettersen, Øystein Skauge, Arne Polymers (Basel) Article Polymer flooding is an enhanced oil recovery (EOR) process, which has received increasing interest in the industry. In this process, water-soluble polymers are used to increase injected water viscosity in order to improve mobility ratio and hence improve reservoir sweep. Polymer solutions are non-Newtonian fluids, i.e., their viscosities are shear dependent. Polymers may exhibit an increase in viscosity at high shear rates in porous media, which can cause injectivity loss. In contrast, at low shear rates they may observe viscosity loss and hence enhance the injectivity. Therefore, due to the complex non-Newtonian rheology of polymers, it is necessary to optimize the design of polymer injectivity tests in order to improve our understanding of the rheology behavior and enhance the design of polymer flood projects. This study has been addressing what information that can be gained from polymer injectivity tests, and how to design the test for maximizing information. The main source of information in the field is from the injection bottom-hole pressure (BHP). Simulation studies have analyzed the response of different non-Newtonian rheology on BHP with variations of rate and time. The results have shown that BHP from injectivity tests can be used to detect in-situ polymer rheology. MDPI 2020-04-03 /pmc/articles/PMC7240407/ /pubmed/32260078 http://dx.doi.org/10.3390/polym12040801 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Alzaabi, Mohamed Adel
Gausdal Jacobsen, Jørgen
Masalmeh, Shehadeh
Al Sumaiti, Ali
Pettersen, Øystein
Skauge, Arne
Polymer Injectivity Test Design Using Numerical Simulation
title Polymer Injectivity Test Design Using Numerical Simulation
title_full Polymer Injectivity Test Design Using Numerical Simulation
title_fullStr Polymer Injectivity Test Design Using Numerical Simulation
title_full_unstemmed Polymer Injectivity Test Design Using Numerical Simulation
title_short Polymer Injectivity Test Design Using Numerical Simulation
title_sort polymer injectivity test design using numerical simulation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7240407/
https://www.ncbi.nlm.nih.gov/pubmed/32260078
http://dx.doi.org/10.3390/polym12040801
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