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Injection of Gelling Systems to a Layered Reservoir for Conformance Improvement
The paper describes the introduction and estimation of performance criteria for the gelling agent injection technology based on a general approach to modeling physical and chemical enhanced oil recovery (EOR) methods. The current mathematical models do not include performance criteria for the proces...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602010/ https://www.ncbi.nlm.nih.gov/pubmed/36286122 http://dx.doi.org/10.3390/gels8100621 |
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author | Fedorov, Konstantin Shevelev, Alexander Gilmanov, Alexander Arzhylovskiy, Andrey Anuriev, Denis Vydysh, Ivan Morozovskiy, Nikita |
author_facet | Fedorov, Konstantin Shevelev, Alexander Gilmanov, Alexander Arzhylovskiy, Andrey Anuriev, Denis Vydysh, Ivan Morozovskiy, Nikita |
author_sort | Fedorov, Konstantin |
collection | PubMed |
description | The paper describes the introduction and estimation of performance criteria for the gelling agent injection technology based on a general approach to modeling physical and chemical enhanced oil recovery (EOR) methods. The current mathematical models do not include performance criteria for the process of gelling agent injection and do not allow for assessing the level of success of a treatment job in production wells. The paper introduces such criteria for the first time. To simulate the effect on injection wells, the mass conservation laws and the generalized flow law are used, and closing relations for the gelling rate are taken into account. A conformance control coefficient is introduced which characterizes the positive effect of well treatments and injectivity drop which characterizes the negative effect. The performance criteria allow for identifying the wells where the treatment jobs were the most successful. The model verification, based on the comparison of post-treatment injectivity estimated in the developed model, with Rosneft’s field data showed a satisfactory match. The developed correlations can be used as the basis for a surrogate model that allows for avoiding building sector geological and flow simulation models of the treated zone. |
format | Online Article Text |
id | pubmed-9602010 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96020102022-10-27 Injection of Gelling Systems to a Layered Reservoir for Conformance Improvement Fedorov, Konstantin Shevelev, Alexander Gilmanov, Alexander Arzhylovskiy, Andrey Anuriev, Denis Vydysh, Ivan Morozovskiy, Nikita Gels Article The paper describes the introduction and estimation of performance criteria for the gelling agent injection technology based on a general approach to modeling physical and chemical enhanced oil recovery (EOR) methods. The current mathematical models do not include performance criteria for the process of gelling agent injection and do not allow for assessing the level of success of a treatment job in production wells. The paper introduces such criteria for the first time. To simulate the effect on injection wells, the mass conservation laws and the generalized flow law are used, and closing relations for the gelling rate are taken into account. A conformance control coefficient is introduced which characterizes the positive effect of well treatments and injectivity drop which characterizes the negative effect. The performance criteria allow for identifying the wells where the treatment jobs were the most successful. The model verification, based on the comparison of post-treatment injectivity estimated in the developed model, with Rosneft’s field data showed a satisfactory match. The developed correlations can be used as the basis for a surrogate model that allows for avoiding building sector geological and flow simulation models of the treated zone. MDPI 2022-09-29 /pmc/articles/PMC9602010/ /pubmed/36286122 http://dx.doi.org/10.3390/gels8100621 Text en © 2022 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 Fedorov, Konstantin Shevelev, Alexander Gilmanov, Alexander Arzhylovskiy, Andrey Anuriev, Denis Vydysh, Ivan Morozovskiy, Nikita Injection of Gelling Systems to a Layered Reservoir for Conformance Improvement |
title | Injection of Gelling Systems to a Layered Reservoir for Conformance Improvement |
title_full | Injection of Gelling Systems to a Layered Reservoir for Conformance Improvement |
title_fullStr | Injection of Gelling Systems to a Layered Reservoir for Conformance Improvement |
title_full_unstemmed | Injection of Gelling Systems to a Layered Reservoir for Conformance Improvement |
title_short | Injection of Gelling Systems to a Layered Reservoir for Conformance Improvement |
title_sort | injection of gelling systems to a layered reservoir for conformance improvement |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602010/ https://www.ncbi.nlm.nih.gov/pubmed/36286122 http://dx.doi.org/10.3390/gels8100621 |
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