A new choke correlation to predict flow rate of artificially flowing wells

The prediction of fluid flow rates is of prime importance for the oil and gas business. Several classical flow rate prediction correlations have been generated and generally used for wells flowing naturally. However, for oil wells flowing artificially, these correlations overlooked many significant...

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Main Authors: Ganat, Tarek A., Hrairi, Meftah
Format: Article
Language:English
English
English
Published: Elsevier 2018
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spelling my.iium.irep.667232019-01-27T08:44:03Z http://irep.iium.edu.my/66723/ A new choke correlation to predict flow rate of artificially flowing wells Ganat, Tarek A. Hrairi, Meftah T Technology (General) TJ Mechanical engineering and machinery The prediction of fluid flow rates is of prime importance for the oil and gas business. Several classical flow rate prediction correlations have been generated and generally used for wells flowing naturally. However, for oil wells flowing artificially, these correlations overlooked many significant fluid and well parameters, leading to erroneous results and inaccurate predictions. This paper used the outputs of a new mathematical model to predict the flow rates of 34 electrical submersible pump (ESP) oil wells from 3 oil fields located in North Africa, possessing a broad range of parameters, to determine a new correlation to predict the oil flow rate. Mathematical procedures for finding the best-fitting curve were used. When compared to the experimentally measured results of another two datasets, the predicted oil flow rates by the new correlation were in good agreement. Indeed, the performance of the new correlation shows reliable prediction results with about ± 10% relative error. Furthermore, the results of this new method were statistically superior to results from previous correlation methods. The correlation that was proposed here exhibits greater accuracy (−5% error) than existing previous correlation methods. The new correlation adapts itself to any ESP oil well and could apply to both onshore and offshore wells. Elsevier 2018-12 Article PeerReviewed application/pdf en http://irep.iium.edu.my/66723/1/66723_A%20new%20choke%20correlation%20to%20predict%20flow%20rate_article.pdf application/pdf en http://irep.iium.edu.my/66723/2/66723_A%20new%20choke%20correlation%20to%20predict%20flow%20rate_scopus.pdf application/pdf en http://irep.iium.edu.my/66723/13/66723%20A%20new%20choke%20correlation%20to%20predict%20flow%20rate%20of%20artificially%20flowing%20wells%20WOS.pdf Ganat, Tarek A. and Hrairi, Meftah (2018) A new choke correlation to predict flow rate of artificially flowing wells. Journal of Petroleum Science and Engineering, 171. pp. 1378-1389. ISSN 0920-4105 https://www.sciencedirect.com/science/article/pii/S0920410518306703?via%3Dihub#! 10.1016/j.petrol.2018.08.004
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
English
topic T Technology (General)
TJ Mechanical engineering and machinery
spellingShingle T Technology (General)
TJ Mechanical engineering and machinery
Ganat, Tarek A.
Hrairi, Meftah
A new choke correlation to predict flow rate of artificially flowing wells
description The prediction of fluid flow rates is of prime importance for the oil and gas business. Several classical flow rate prediction correlations have been generated and generally used for wells flowing naturally. However, for oil wells flowing artificially, these correlations overlooked many significant fluid and well parameters, leading to erroneous results and inaccurate predictions. This paper used the outputs of a new mathematical model to predict the flow rates of 34 electrical submersible pump (ESP) oil wells from 3 oil fields located in North Africa, possessing a broad range of parameters, to determine a new correlation to predict the oil flow rate. Mathematical procedures for finding the best-fitting curve were used. When compared to the experimentally measured results of another two datasets, the predicted oil flow rates by the new correlation were in good agreement. Indeed, the performance of the new correlation shows reliable prediction results with about ± 10% relative error. Furthermore, the results of this new method were statistically superior to results from previous correlation methods. The correlation that was proposed here exhibits greater accuracy (−5% error) than existing previous correlation methods. The new correlation adapts itself to any ESP oil well and could apply to both onshore and offshore wells.
format Article
author Ganat, Tarek A.
Hrairi, Meftah
author_facet Ganat, Tarek A.
Hrairi, Meftah
author_sort Ganat, Tarek A.
title A new choke correlation to predict flow rate of artificially flowing wells
title_short A new choke correlation to predict flow rate of artificially flowing wells
title_full A new choke correlation to predict flow rate of artificially flowing wells
title_fullStr A new choke correlation to predict flow rate of artificially flowing wells
title_full_unstemmed A new choke correlation to predict flow rate of artificially flowing wells
title_sort new choke correlation to predict flow rate of artificially flowing wells
publisher Elsevier
publishDate 2018
url http://irep.iium.edu.my/66723/1/66723_A%20new%20choke%20correlation%20to%20predict%20flow%20rate_article.pdf
http://irep.iium.edu.my/66723/2/66723_A%20new%20choke%20correlation%20to%20predict%20flow%20rate_scopus.pdf
http://irep.iium.edu.my/66723/13/66723%20A%20new%20choke%20correlation%20to%20predict%20flow%20rate%20of%20artificially%20flowing%20wells%20WOS.pdf
http://irep.iium.edu.my/66723/
https://www.sciencedirect.com/science/article/pii/S0920410518306703?via%3Dihub#!
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