Cargando…
Proppant Distribution Prediction between Perforation Clusters Using Fresh Water in a Horizontal Wellbore
[Image: see text] In multistage, multicluster treatments, distributing the proppant evenly among the multiple perforation clusters is considered one of the key challenges. Uneven proppant distribution in multiple clusters can significantly affect fracture conductivity, which in turn severely affects...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233685/ https://www.ncbi.nlm.nih.gov/pubmed/37273590 http://dx.doi.org/10.1021/acsomega.3c01696 |
_version_ | 1785052310259367936 |
---|---|
author | Alajmei, Shabeeb |
author_facet | Alajmei, Shabeeb |
author_sort | Alajmei, Shabeeb |
collection | PubMed |
description | [Image: see text] In multistage, multicluster treatments, distributing the proppant evenly among the multiple perforation clusters is considered one of the key challenges. Uneven proppant distribution in multiple clusters can significantly affect fracture conductivity, which in turn severely affects the well’s productivity. Dimensional analysis using the Buckingham π-theorem was utilized to develop the experimental correlations using the experimental data. The laboratory tests data of 100 mesh brown and 40/70 mesh white sands (SG of 2.65) at various proppant concentrations, injection rates, and with various perforation configurations were combined and used to develop the correlation. This paper offers a newly developed experimental correlation for the proppant distribution that may be utilized to forecast the distribution of proppant between various clusters in the multistage, multicluster stimulation. Such correlations are essential to be considered in future hydraulic fracturing treatment designs, as they offer insightful information and aid in optimizing the projected proppant distribution across several perforation clusters within a single hydraulic fracturing stage. Thus, the multistage, multicluster horizontal wellbore achieves uniform proppant distribution between the various perforation clusters. |
format | Online Article Text |
id | pubmed-10233685 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-102336852023-06-02 Proppant Distribution Prediction between Perforation Clusters Using Fresh Water in a Horizontal Wellbore Alajmei, Shabeeb ACS Omega [Image: see text] In multistage, multicluster treatments, distributing the proppant evenly among the multiple perforation clusters is considered one of the key challenges. Uneven proppant distribution in multiple clusters can significantly affect fracture conductivity, which in turn severely affects the well’s productivity. Dimensional analysis using the Buckingham π-theorem was utilized to develop the experimental correlations using the experimental data. The laboratory tests data of 100 mesh brown and 40/70 mesh white sands (SG of 2.65) at various proppant concentrations, injection rates, and with various perforation configurations were combined and used to develop the correlation. This paper offers a newly developed experimental correlation for the proppant distribution that may be utilized to forecast the distribution of proppant between various clusters in the multistage, multicluster stimulation. Such correlations are essential to be considered in future hydraulic fracturing treatment designs, as they offer insightful information and aid in optimizing the projected proppant distribution across several perforation clusters within a single hydraulic fracturing stage. Thus, the multistage, multicluster horizontal wellbore achieves uniform proppant distribution between the various perforation clusters. American Chemical Society 2023-05-15 /pmc/articles/PMC10233685/ /pubmed/37273590 http://dx.doi.org/10.1021/acsomega.3c01696 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 Proppant Distribution Prediction between Perforation Clusters Using Fresh Water in a Horizontal Wellbore |
title | Proppant Distribution Prediction between Perforation
Clusters Using Fresh Water in a Horizontal Wellbore |
title_full | Proppant Distribution Prediction between Perforation
Clusters Using Fresh Water in a Horizontal Wellbore |
title_fullStr | Proppant Distribution Prediction between Perforation
Clusters Using Fresh Water in a Horizontal Wellbore |
title_full_unstemmed | Proppant Distribution Prediction between Perforation
Clusters Using Fresh Water in a Horizontal Wellbore |
title_short | Proppant Distribution Prediction between Perforation
Clusters Using Fresh Water in a Horizontal Wellbore |
title_sort | proppant distribution prediction between perforation
clusters using fresh water in a horizontal wellbore |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233685/ https://www.ncbi.nlm.nih.gov/pubmed/37273590 http://dx.doi.org/10.1021/acsomega.3c01696 |
work_keys_str_mv | AT alajmeishabeeb proppantdistributionpredictionbetweenperforationclustersusingfreshwaterinahorizontalwellbore |