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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Universiti Kebangsaan Malaysia
2014
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| Online Access: | http://journalarticle.ukm.my/7164/ http://journalarticle.ukm.my/7164/ http://journalarticle.ukm.my/7164/1/21_Gui_Wang.pdf |
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ukm-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/ |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Kebangasaan Malaysia |
| building |
UKM Institutional Repository |
| collection |
Online Access |
| 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/ http://journalarticle.ukm.my/7164/ http://journalarticle.ukm.my/7164/1/21_Gui_Wang.pdf |
| first_indexed |
2023-09-18T19:48:55Z |
| last_indexed |
2023-09-18T19:48:55Z |
| _version_ |
1777406087973044224 |