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Numerical Modeling of Proppant Embedment in Viscoelastic Formations with the Fractional Maxwell Model

[Image: see text] Hydraulic fracturing is often used to exploit unconventional hydrocarbons, and proppants are usually added during hydraulic fracturing to keep the fractures induced open. Nevertheless, time-dependent proppant embedment has often been neglected in previous studies. In this survey, t...

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Autores principales: Ding, Xiang, Zhang, Fan, Chen, Na, Zhang, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8359156/
https://www.ncbi.nlm.nih.gov/pubmed/34395988
http://dx.doi.org/10.1021/acsomega.1c02407
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author Ding, Xiang
Zhang, Fan
Chen, Na
Zhang, Yan
author_facet Ding, Xiang
Zhang, Fan
Chen, Na
Zhang, Yan
author_sort Ding, Xiang
collection PubMed
description [Image: see text] Hydraulic fracturing is often used to exploit unconventional hydrocarbons, and proppants are usually added during hydraulic fracturing to keep the fractures induced open. Nevertheless, time-dependent proppant embedment has often been neglected in previous studies. In this survey, the fractional Maxwell model is first proposed to describe the viscoelastic deformation of tight sandstones. Then, the fractional rheological model is incorporated into the finite element framework in ABAQUS to establish a numerical model to investigate the time-dependent embedment of proppants in viscoelastic formations. Parameter sensitivity studies are also performed to investigate the influences of the mechanical characteristics of proppants and formation on the embedment depth. Several factors that influence proppant embedment are also discussed.
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spelling pubmed-83591562021-08-13 Numerical Modeling of Proppant Embedment in Viscoelastic Formations with the Fractional Maxwell Model Ding, Xiang Zhang, Fan Chen, Na Zhang, Yan ACS Omega [Image: see text] Hydraulic fracturing is often used to exploit unconventional hydrocarbons, and proppants are usually added during hydraulic fracturing to keep the fractures induced open. Nevertheless, time-dependent proppant embedment has often been neglected in previous studies. In this survey, the fractional Maxwell model is first proposed to describe the viscoelastic deformation of tight sandstones. Then, the fractional rheological model is incorporated into the finite element framework in ABAQUS to establish a numerical model to investigate the time-dependent embedment of proppants in viscoelastic formations. Parameter sensitivity studies are also performed to investigate the influences of the mechanical characteristics of proppants and formation on the embedment depth. Several factors that influence proppant embedment are also discussed. American Chemical Society 2021-07-29 /pmc/articles/PMC8359156/ /pubmed/34395988 http://dx.doi.org/10.1021/acsomega.1c02407 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Ding, Xiang
Zhang, Fan
Chen, Na
Zhang, Yan
Numerical Modeling of Proppant Embedment in Viscoelastic Formations with the Fractional Maxwell Model
title Numerical Modeling of Proppant Embedment in Viscoelastic Formations with the Fractional Maxwell Model
title_full Numerical Modeling of Proppant Embedment in Viscoelastic Formations with the Fractional Maxwell Model
title_fullStr Numerical Modeling of Proppant Embedment in Viscoelastic Formations with the Fractional Maxwell Model
title_full_unstemmed Numerical Modeling of Proppant Embedment in Viscoelastic Formations with the Fractional Maxwell Model
title_short Numerical Modeling of Proppant Embedment in Viscoelastic Formations with the Fractional Maxwell Model
title_sort numerical modeling of proppant embedment in viscoelastic formations with the fractional maxwell model
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8359156/
https://www.ncbi.nlm.nih.gov/pubmed/34395988
http://dx.doi.org/10.1021/acsomega.1c02407
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