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

• Main Authors: Ganat, Tarek A., Hrairi, Meftah
• Format: Article
• Language: English; English; English
• Published: Elsevier 2018
• Subjects: T Technology (General); TJ Mechanical engineering and machinery
• Online Access: 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#!

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...