Enhancing sand screen performance with integrated slurry testing and CFD-DEM modelling
Understanding the behavior of sand screens is crucial for optimizing sand control strategies and preventing wellbore failure, which can significantly impact reservoir management and production efficiency. This paper presents a comprehensive experimental and numerical modeling study on sand screen pe...
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Elsevier
2025-01-01
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024169083 |
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author | Noorhaslin Che Su Sofyah Anis Izwani Jusof Aimi Zahraa Zainal Yeong Yuan Jian Chan Kai Xian Afiq Mohd Laziz Muhmmad Fadhli Muhammad Javed Akhbar Khan Abdul Hazim Abdullah Mohd Azuwan Maoinser |
author_facet | Noorhaslin Che Su Sofyah Anis Izwani Jusof Aimi Zahraa Zainal Yeong Yuan Jian Chan Kai Xian Afiq Mohd Laziz Muhmmad Fadhli Muhammad Javed Akhbar Khan Abdul Hazim Abdullah Mohd Azuwan Maoinser |
author_sort | Noorhaslin Che Su |
collection | DOAJ |
description | Understanding the behavior of sand screens is crucial for optimizing sand control strategies and preventing wellbore failure, which can significantly impact reservoir management and production efficiency. This paper presents a comprehensive experimental and numerical modeling study on sand screen performance, aimed at providing insights prior to real-field applications. The study evaluated a 200-μm wire-wrapped screen (WWS) using slurry tests to determine the amount of sand retained, sand produced and retained permeability to assess screen efficiency. The particle size distribution (PSD) of sand samples was crucial for selecting the appropriate screen size, with results showing that highly uniform and well-sorted sand exhibited higher sand retention and lower sand production due to reduced fines content and maximized void spaces, enhancing fluid flow while mitigating sand production. A coupled Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) simulation platform was employed to model particle-fluid interactions, using an optimal mesh size of 0.005 m. The simulation results showed a high degree of correlation with experimental data, with 93.1 % similarity in sand retention and 63.22 % in sand production. These findings underscore the potential of CFD-DEM simulations in accurately replicating complex sand control processes and optimizing screen performance for enhanced wellbore stability and production efficiency. |
format | Article |
id | doaj-art-0884b67299664dd28852d04c7339783d |
institution | Kabale University |
issn | 2405-8440 |
language | English |
publishDate | 2025-01-01 |
publisher | Elsevier |
record_format | Article |
series | Heliyon |
spelling | doaj-art-0884b67299664dd28852d04c7339783d2025-01-17T04:49:50ZengElsevierHeliyon2405-84402025-01-01111e40877Enhancing sand screen performance with integrated slurry testing and CFD-DEM modellingNoorhaslin Che Su0Sofyah Anis Izwani Jusof1Aimi Zahraa Zainal2Yeong Yuan Jian3Chan Kai Xian4Afiq Mohd Laziz5Muhmmad Fadhli Muhammad6Javed Akhbar Khan7Abdul Hazim Abdullah8Mohd Azuwan Maoinser9Institute of Sustainable Energy Resources, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, 32610, MalaysiaInstitute of Sustainable Energy Resources, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, 32610, MalaysiaInstitute of Sustainable Energy Resources, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, 32610, Malaysia; Department of Mechanical Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, 32610, MalaysiaDepartment of Mechanical Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, 32610, MalaysiaDepartment of Mechanical Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, 32610, MalaysiaDepartment of Chemical Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, 32610, MalaysiaPETRONAS Research Sdn. Bhd., Petronas Research & Scientific, Government and Private Training Centre Area, 43000 Bandar Baru Bangi, Selangor, MalaysiaCollege of Electrical & Mechanical Engineering, China University of Petroleum, Qingdao, 266580, ChinaInstitute of Sustainable Energy Resources, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, 32610, Malaysia; Department of Petroleum Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, 32610, MalaysiaInstitute of Sustainable Energy Resources, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, 32610, Malaysia; Department of Petroleum Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, 32610, Malaysia; Corresponding author. Institute of Sustainable Energy Resources, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, 32610, Malaysia.Understanding the behavior of sand screens is crucial for optimizing sand control strategies and preventing wellbore failure, which can significantly impact reservoir management and production efficiency. This paper presents a comprehensive experimental and numerical modeling study on sand screen performance, aimed at providing insights prior to real-field applications. The study evaluated a 200-μm wire-wrapped screen (WWS) using slurry tests to determine the amount of sand retained, sand produced and retained permeability to assess screen efficiency. The particle size distribution (PSD) of sand samples was crucial for selecting the appropriate screen size, with results showing that highly uniform and well-sorted sand exhibited higher sand retention and lower sand production due to reduced fines content and maximized void spaces, enhancing fluid flow while mitigating sand production. A coupled Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) simulation platform was employed to model particle-fluid interactions, using an optimal mesh size of 0.005 m. The simulation results showed a high degree of correlation with experimental data, with 93.1 % similarity in sand retention and 63.22 % in sand production. These findings underscore the potential of CFD-DEM simulations in accurately replicating complex sand control processes and optimizing screen performance for enhanced wellbore stability and production efficiency.http://www.sciencedirect.com/science/article/pii/S2405844024169083Particle size distributionSlurry testConstant flow rateSand retention testWire wrappedCFD-DEM |
spellingShingle | Noorhaslin Che Su Sofyah Anis Izwani Jusof Aimi Zahraa Zainal Yeong Yuan Jian Chan Kai Xian Afiq Mohd Laziz Muhmmad Fadhli Muhammad Javed Akhbar Khan Abdul Hazim Abdullah Mohd Azuwan Maoinser Enhancing sand screen performance with integrated slurry testing and CFD-DEM modelling Heliyon Particle size distribution Slurry test Constant flow rate Sand retention test Wire wrapped CFD-DEM |
title | Enhancing sand screen performance with integrated slurry testing and CFD-DEM modelling |
title_full | Enhancing sand screen performance with integrated slurry testing and CFD-DEM modelling |
title_fullStr | Enhancing sand screen performance with integrated slurry testing and CFD-DEM modelling |
title_full_unstemmed | Enhancing sand screen performance with integrated slurry testing and CFD-DEM modelling |
title_short | Enhancing sand screen performance with integrated slurry testing and CFD-DEM modelling |
title_sort | enhancing sand screen performance with integrated slurry testing and cfd dem modelling |
topic | Particle size distribution Slurry test Constant flow rate Sand retention test Wire wrapped CFD-DEM |
url | http://www.sciencedirect.com/science/article/pii/S2405844024169083 |
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