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Accurate Prediction of the Proppant Distribution in a Hydraulically Fractured Stage

[Image: see text] One of the greatest challenges in stimulating a single hydraulic fracturing stage with multiple clusters is ensuring that the proppant is equally distributed across all clusters. In this paper, the Buckingham pi theorem was applied to implement a dimensional analysis to establish a...

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Autor principal: Alajmei, Shabeeb
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568723/
https://www.ncbi.nlm.nih.gov/pubmed/37841146
http://dx.doi.org/10.1021/acsomega.3c04509
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author Alajmei, Shabeeb
author_facet Alajmei, Shabeeb
author_sort Alajmei, Shabeeb
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description [Image: see text] One of the greatest challenges in stimulating a single hydraulic fracturing stage with multiple clusters is ensuring that the proppant is equally distributed across all clusters. In this paper, the Buckingham pi theorem was applied to implement a dimensional analysis to establish an empirical correlation. The experimental correlation was developed by acquiring and integrating the data of various independent variables, such as different proppant characteristics (i.e., size, density, and concentration), using a wide range of internal diameters of the horizontal wellbore and multiple perforation configurations, and utilizing many carrier fluids with different viscosities. This work presents a newly enhanced experimental correlation for the distribution of proppants by incorporating the effect of gravity on proppant particles. The correlation proved its reliability in forecasting the proppant distribution with an average percentage error of less than 10%. The developed correlation has the potential to serve as a tool for forecasting proppant distributions among multiple clusters in multistage hydraulic fracturing treatments in the field.
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spelling pubmed-105687232023-10-13 Accurate Prediction of the Proppant Distribution in a Hydraulically Fractured Stage Alajmei, Shabeeb ACS Omega [Image: see text] One of the greatest challenges in stimulating a single hydraulic fracturing stage with multiple clusters is ensuring that the proppant is equally distributed across all clusters. In this paper, the Buckingham pi theorem was applied to implement a dimensional analysis to establish an empirical correlation. The experimental correlation was developed by acquiring and integrating the data of various independent variables, such as different proppant characteristics (i.e., size, density, and concentration), using a wide range of internal diameters of the horizontal wellbore and multiple perforation configurations, and utilizing many carrier fluids with different viscosities. This work presents a newly enhanced experimental correlation for the distribution of proppants by incorporating the effect of gravity on proppant particles. The correlation proved its reliability in forecasting the proppant distribution with an average percentage error of less than 10%. The developed correlation has the potential to serve as a tool for forecasting proppant distributions among multiple clusters in multistage hydraulic fracturing treatments in the field. American Chemical Society 2023-09-28 /pmc/articles/PMC10568723/ /pubmed/37841146 http://dx.doi.org/10.1021/acsomega.3c04509 Text en © 2023 The Author. 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 Alajmei, Shabeeb
Accurate Prediction of the Proppant Distribution in a Hydraulically Fractured Stage
title Accurate Prediction of the Proppant Distribution in a Hydraulically Fractured Stage
title_full Accurate Prediction of the Proppant Distribution in a Hydraulically Fractured Stage
title_fullStr Accurate Prediction of the Proppant Distribution in a Hydraulically Fractured Stage
title_full_unstemmed Accurate Prediction of the Proppant Distribution in a Hydraulically Fractured Stage
title_short Accurate Prediction of the Proppant Distribution in a Hydraulically Fractured Stage
title_sort accurate prediction of the proppant distribution in a hydraulically fractured stage
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568723/
https://www.ncbi.nlm.nih.gov/pubmed/37841146
http://dx.doi.org/10.1021/acsomega.3c04509
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