Development of sand production prediction computer model
During production, sand inflow from poorly consolidated reservoir will cause problems of wear, casing collapse and surface facility deterioration. However, if the sand control completion is used to minimize sand production risk, it may lead to high skins and resulting in large productivity loses. On...
Main Authors: | , |
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Format: | Conference or Workshop Item |
Language: | English |
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2001
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Online Access: | http://eprints.utm.my/3516/1/SKMBT_60007052214560.pdf |
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author | Samsuri, Ariffin Sim, Soon Hin |
author_facet | Samsuri, Ariffin Sim, Soon Hin |
author_sort | Samsuri, Ariffin |
collection | ePrints |
description | During production, sand inflow from poorly consolidated reservoir will cause problems of wear, casing collapse and surface facility deterioration. However, if the sand control completion is used to minimize sand production risk, it may lead to high skins and resulting in large productivity loses. On the other hand, completion without sand control device may lead to sand production problems with economial loss and safety risks. The best way to assess the problem is prediction of sand production, which basically come from the perforation. Therefore, a two-dimensional numerical model will be developed to simulate and monitor the stability of perforation and predict when sand will be produced during production phase. In developing the perforation cavity stability prediction model, the rock is assumed to be isotropic and homogeneous with the pores completely filled with fluid. |
first_indexed | 2024-03-05T18:01:40Z |
format | Conference or Workshop Item |
id | utm.eprints-3516 |
institution | Universiti Teknologi Malaysia - ePrints |
language | English |
last_indexed | 2024-03-05T18:01:40Z |
publishDate | 2001 |
record_format | dspace |
spelling | utm.eprints-35162017-09-11T02:52:24Z http://eprints.utm.my/3516/ Development of sand production prediction computer model Samsuri, Ariffin Sim, Soon Hin TP Chemical technology TN Mining engineering. Metallurgy During production, sand inflow from poorly consolidated reservoir will cause problems of wear, casing collapse and surface facility deterioration. However, if the sand control completion is used to minimize sand production risk, it may lead to high skins and resulting in large productivity loses. On the other hand, completion without sand control device may lead to sand production problems with economial loss and safety risks. The best way to assess the problem is prediction of sand production, which basically come from the perforation. Therefore, a two-dimensional numerical model will be developed to simulate and monitor the stability of perforation and predict when sand will be produced during production phase. In developing the perforation cavity stability prediction model, the rock is assumed to be isotropic and homogeneous with the pores completely filled with fluid. 2001-11-08 Conference or Workshop Item NonPeerReviewed application/pdf en http://eprints.utm.my/3516/1/SKMBT_60007052214560.pdf Samsuri, Ariffin and Sim, Soon Hin (2001) Development of sand production prediction computer model. In: Malaysia Science And Technology Congress 2001, 8-10 November 2001, 8 - 10 November 2001, Universiti Sains Malaysia, Pulau Pinang. |
spellingShingle | TP Chemical technology TN Mining engineering. Metallurgy Samsuri, Ariffin Sim, Soon Hin Development of sand production prediction computer model |
title | Development of sand production prediction computer model |
title_full | Development of sand production prediction computer model |
title_fullStr | Development of sand production prediction computer model |
title_full_unstemmed | Development of sand production prediction computer model |
title_short | Development of sand production prediction computer model |
title_sort | development of sand production prediction computer model |
topic | TP Chemical technology TN Mining engineering. Metallurgy |
url | http://eprints.utm.my/3516/1/SKMBT_60007052214560.pdf |
work_keys_str_mv | AT samsuriariffin developmentofsandproductionpredictioncomputermodel AT simsoonhin developmentofsandproductionpredictioncomputermodel |