Estimation of Sand Production Rate Using Geomechanical and Hydromechanical Models

This paper aims to develop a numerical model that can be used in sand control during production phase of an oil and gas well. The model is able to predict not only the onset of sand production using critical bottom hole pressure inferred from geomechanical modelling, but also the mass of sand produc...

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Main Author: Son Tung Pham
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Advances in Materials Science and Engineering
Online Access:http://dx.doi.org/10.1155/2017/2195404
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author Son Tung Pham
author_facet Son Tung Pham
author_sort Son Tung Pham
collection DOAJ
description This paper aims to develop a numerical model that can be used in sand control during production phase of an oil and gas well. The model is able to predict not only the onset of sand production using critical bottom hole pressure inferred from geomechanical modelling, but also the mass of sand produced versus time as well as the change of porosity versus space and time using hydromechanical modelling. A detailed workflow of the modelling was presented with each step of calculations. The empirical parameters were calibrated using laboratory data. Then the modelling was applied in a case study of an oilfield in Cuu Long basin. In addition, a sensitivity study of the effect of drawdown pressure was presented in this paper. Moreover, a comparison between results of different hydromechanical models was also addressed. The outcome of this paper demonstrated the possibility of modelling the sand production mass in real cases, opening a new approach in sand control in petroleum industry.
format Article
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institution Kabale University
issn 1687-8434
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language English
publishDate 2017-01-01
publisher Wiley
record_format Article
series Advances in Materials Science and Engineering
spelling doaj-art-3d657cb9637d46168ca3e440f8c2bf952025-02-03T01:22:55ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422017-01-01201710.1155/2017/21954042195404Estimation of Sand Production Rate Using Geomechanical and Hydromechanical ModelsSon Tung Pham0Faculty of Geology & Petroleum Engineering, Department of Drilling & Production Engineering, Ho Chi Minh City University of Technology-Vietnam National University, Ho Chi Minh City, VietnamThis paper aims to develop a numerical model that can be used in sand control during production phase of an oil and gas well. The model is able to predict not only the onset of sand production using critical bottom hole pressure inferred from geomechanical modelling, but also the mass of sand produced versus time as well as the change of porosity versus space and time using hydromechanical modelling. A detailed workflow of the modelling was presented with each step of calculations. The empirical parameters were calibrated using laboratory data. Then the modelling was applied in a case study of an oilfield in Cuu Long basin. In addition, a sensitivity study of the effect of drawdown pressure was presented in this paper. Moreover, a comparison between results of different hydromechanical models was also addressed. The outcome of this paper demonstrated the possibility of modelling the sand production mass in real cases, opening a new approach in sand control in petroleum industry.http://dx.doi.org/10.1155/2017/2195404
spellingShingle Son Tung Pham
Estimation of Sand Production Rate Using Geomechanical and Hydromechanical Models
Advances in Materials Science and Engineering
title Estimation of Sand Production Rate Using Geomechanical and Hydromechanical Models
title_full Estimation of Sand Production Rate Using Geomechanical and Hydromechanical Models
title_fullStr Estimation of Sand Production Rate Using Geomechanical and Hydromechanical Models
title_full_unstemmed Estimation of Sand Production Rate Using Geomechanical and Hydromechanical Models
title_short Estimation of Sand Production Rate Using Geomechanical and Hydromechanical Models
title_sort estimation of sand production rate using geomechanical and hydromechanical models
url http://dx.doi.org/10.1155/2017/2195404
work_keys_str_mv AT sontungpham estimationofsandproductionrateusinggeomechanicalandhydromechanicalmodels