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Numerical Well Testing Interpretation Model and Applications in Crossflow Double-Layer Reservoirs by Polymer Flooding

This work presents numerical well testing interpretation model and analysis techniques to evaluate formation by using pressure transient data acquired with logging tools in crossflow double-layer reservoirs by polymer flooding. A well testing model is established based on rheology experiments and by...

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Autores principales: Yu, Haiyang, Guo, Hui, He, Youwei, Xu, Hainan, Li, Lei, Zhang, Tiantian, Xian, Bo, Du, Song, Cheng, Shiqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4181499/
https://www.ncbi.nlm.nih.gov/pubmed/25302335
http://dx.doi.org/10.1155/2014/890874
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author Yu, Haiyang
Guo, Hui
He, Youwei
Xu, Hainan
Li, Lei
Zhang, Tiantian
Xian, Bo
Du, Song
Cheng, Shiqing
author_facet Yu, Haiyang
Guo, Hui
He, Youwei
Xu, Hainan
Li, Lei
Zhang, Tiantian
Xian, Bo
Du, Song
Cheng, Shiqing
author_sort Yu, Haiyang
collection PubMed
description This work presents numerical well testing interpretation model and analysis techniques to evaluate formation by using pressure transient data acquired with logging tools in crossflow double-layer reservoirs by polymer flooding. A well testing model is established based on rheology experiments and by considering shear, diffusion, convection, inaccessible pore volume (IPV), permeability reduction, wellbore storage effect, and skin factors. The type curves were then developed based on this model, and parameter sensitivity is analyzed. Our research shows that the type curves have five segments with different flow status: (I) wellbore storage section, (II) intermediate flow section (transient section), (III) mid-radial flow section, (IV) crossflow section (from low permeability layer to high permeability layer), and (V) systematic radial flow section. The polymer flooding field tests prove that our model can accurately determine formation parameters in crossflow double-layer reservoirs by polymer flooding. Moreover, formation damage caused by polymer flooding can also be evaluated by comparison of the interpreted permeability with initial layered permeability before polymer flooding. Comparison of the analysis of numerical solution based on flow mechanism with observed polymer flooding field test data highlights the potential for the application of this interpretation method in formation evaluation and enhanced oil recovery (EOR).
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spelling pubmed-41814992014-10-09 Numerical Well Testing Interpretation Model and Applications in Crossflow Double-Layer Reservoirs by Polymer Flooding Yu, Haiyang Guo, Hui He, Youwei Xu, Hainan Li, Lei Zhang, Tiantian Xian, Bo Du, Song Cheng, Shiqing ScientificWorldJournal Research Article This work presents numerical well testing interpretation model and analysis techniques to evaluate formation by using pressure transient data acquired with logging tools in crossflow double-layer reservoirs by polymer flooding. A well testing model is established based on rheology experiments and by considering shear, diffusion, convection, inaccessible pore volume (IPV), permeability reduction, wellbore storage effect, and skin factors. The type curves were then developed based on this model, and parameter sensitivity is analyzed. Our research shows that the type curves have five segments with different flow status: (I) wellbore storage section, (II) intermediate flow section (transient section), (III) mid-radial flow section, (IV) crossflow section (from low permeability layer to high permeability layer), and (V) systematic radial flow section. The polymer flooding field tests prove that our model can accurately determine formation parameters in crossflow double-layer reservoirs by polymer flooding. Moreover, formation damage caused by polymer flooding can also be evaluated by comparison of the interpreted permeability with initial layered permeability before polymer flooding. Comparison of the analysis of numerical solution based on flow mechanism with observed polymer flooding field test data highlights the potential for the application of this interpretation method in formation evaluation and enhanced oil recovery (EOR). Hindawi Publishing Corporation 2014 2014-06-26 /pmc/articles/PMC4181499/ /pubmed/25302335 http://dx.doi.org/10.1155/2014/890874 Text en Copyright © 2014 Haiyang Yu et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yu, Haiyang
Guo, Hui
He, Youwei
Xu, Hainan
Li, Lei
Zhang, Tiantian
Xian, Bo
Du, Song
Cheng, Shiqing
Numerical Well Testing Interpretation Model and Applications in Crossflow Double-Layer Reservoirs by Polymer Flooding
title Numerical Well Testing Interpretation Model and Applications in Crossflow Double-Layer Reservoirs by Polymer Flooding
title_full Numerical Well Testing Interpretation Model and Applications in Crossflow Double-Layer Reservoirs by Polymer Flooding
title_fullStr Numerical Well Testing Interpretation Model and Applications in Crossflow Double-Layer Reservoirs by Polymer Flooding
title_full_unstemmed Numerical Well Testing Interpretation Model and Applications in Crossflow Double-Layer Reservoirs by Polymer Flooding
title_short Numerical Well Testing Interpretation Model and Applications in Crossflow Double-Layer Reservoirs by Polymer Flooding
title_sort numerical well testing interpretation model and applications in crossflow double-layer reservoirs by polymer flooding
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4181499/
https://www.ncbi.nlm.nih.gov/pubmed/25302335
http://dx.doi.org/10.1155/2014/890874
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