A numerical study on fracture-plugging behaviour of granular lost circulation materials

A distinct element approach has been introduced for simulating the plugging performance of granular lost circulation materials (LCM) in a fracture. This approach solves the fully coupled fracture walls, fluid and particles system in an interactive environment. The effects of the particle shape, size...

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Main Authors: Gui Wang,, Xiaolin Pu,
Format: Article
Language:English
Published: Universiti Kebangsaan Malaysia 2014
Online Access:http://journalarticle.ukm.my/7164/1/21_Gui_Wang.pdf
http://journalarticle.ukm.my/7164/
http://www.ukm.my/jsm/
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spelling my-ukm.journal.71642016-12-14T06:43:16Z http://journalarticle.ukm.my/7164/ A numerical study on fracture-plugging behaviour of granular lost circulation materials Gui Wang, Xiaolin Pu, A distinct element approach has been introduced for simulating the plugging performance of granular lost circulation materials (LCM) in a fracture. This approach solves the fully coupled fracture walls, fluid and particles system in an interactive environment. The effects of the particle shape, size distribution and concentration on the fracture-plugging performance of the granular LCM have been investigated using the three-dimensional particle flow code (PFC3D). The simulated results showed that the irregular granular LCM could plug a fracture width larger than the sieving granulation by single-particle bridging type. The particle size distribution (PSD) of LCM dominates the plugging depth and efficiency in a fracture and there exists an optimum concentration for maximum effect of LCM additives. Universiti Kebangsaan Malaysia 2014-05 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/7164/1/21_Gui_Wang.pdf Gui Wang, and Xiaolin Pu, (2014) A numerical study on fracture-plugging behaviour of granular lost circulation materials. Sains Malaysiana, 43 (5). pp. 807-812. ISSN 0126-6039 http://www.ukm.my/jsm/
institution Universiti Kebangsaan Malaysia
building Perpustakaan Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description A distinct element approach has been introduced for simulating the plugging performance of granular lost circulation materials (LCM) in a fracture. This approach solves the fully coupled fracture walls, fluid and particles system in an interactive environment. The effects of the particle shape, size distribution and concentration on the fracture-plugging performance of the granular LCM have been investigated using the three-dimensional particle flow code (PFC3D). The simulated results showed that the irregular granular LCM could plug a fracture width larger than the sieving granulation by single-particle bridging type. The particle size distribution (PSD) of LCM dominates the plugging depth and efficiency in a fracture and there exists an optimum concentration for maximum effect of LCM additives.
format Article
author Gui Wang,
Xiaolin Pu,
spellingShingle Gui Wang,
Xiaolin Pu,
A numerical study on fracture-plugging behaviour of granular lost circulation materials
author_facet Gui Wang,
Xiaolin Pu,
author_sort Gui Wang,
title A numerical study on fracture-plugging behaviour of granular lost circulation materials
title_short A numerical study on fracture-plugging behaviour of granular lost circulation materials
title_full A numerical study on fracture-plugging behaviour of granular lost circulation materials
title_fullStr A numerical study on fracture-plugging behaviour of granular lost circulation materials
title_full_unstemmed A numerical study on fracture-plugging behaviour of granular lost circulation materials
title_sort numerical study on fracture-plugging behaviour of granular lost circulation materials
publisher Universiti Kebangsaan Malaysia
publishDate 2014
url http://journalarticle.ukm.my/7164/1/21_Gui_Wang.pdf
http://journalarticle.ukm.my/7164/
http://www.ukm.my/jsm/
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score 13.18916