An Investigation into Sub-Critical Choke Flow Performance in High Rate Gas Condensate Wells

There have been some correlations in the literature to predict the gas and liquid flow rate through wellhead chokes under subcritical flow conditions. The majority of these empirical correlations have been developed based on limited production data sets that were collected from a small number of fie...

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Main Authors: Hamid Reza Nasriani, Khalid Khan, Tony Graham, Shephard Ndlovu, Mehrdad Nasriani, Jianqiang Mai, Mohammad Rafie Rafiee
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/12/20/3992
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author Hamid Reza Nasriani
Khalid Khan
Tony Graham
Shephard Ndlovu
Mehrdad Nasriani
Jianqiang Mai
Mohammad Rafie Rafiee
author_facet Hamid Reza Nasriani
Khalid Khan
Tony Graham
Shephard Ndlovu
Mehrdad Nasriani
Jianqiang Mai
Mohammad Rafie Rafiee
author_sort Hamid Reza Nasriani
collection DOAJ
description There have been some correlations in the literature to predict the gas and liquid flow rate through wellhead chokes under subcritical flow conditions. The majority of these empirical correlations have been developed based on limited production data sets that were collected from a small number of fields. Therefore, these correlations are valid within the parameter variation ranges of those fields. If such correlations are used elsewhere for the prediction of the subcritical choke flow performance of the other fields, significant errors will occur. Additionally, there are only a few empirical correlations for sub-critical choke flow performance in high rate gas condensate wells. These led the authors to develop a new empirical correlation based on a wider production data set from different gas condensate fields in the world; 234 production data points were collected from a large number of production wells in twenty different gas condensate fields with diverse reservoir conditions and different production histories. A non-linear regression analysis method was applied to their production. The new correlation was validated with a new set of data points from some other production wells to confirm the accuracy of the established correlation. The results show that the new correlation had minimal errors and predicted the gas flow rate more accurately than the other three existing models over a wider range of parameter variation ranges.
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spelling doaj.art-17397412eff2458583fd4ead4c85c86e2022-12-22T04:01:48ZengMDPI AGEnergies1996-10732019-10-011220399210.3390/en12203992en12203992An Investigation into Sub-Critical Choke Flow Performance in High Rate Gas Condensate WellsHamid Reza Nasriani0Khalid Khan1Tony Graham2Shephard Ndlovu3Mehrdad Nasriani4Jianqiang Mai5Mohammad Rafie Rafiee6School of Engineering, Faculty of Science and Technology, University of Central Lancashire, Preston PR1 2HE, UKSchool of Engineering, Faculty of Science and Technology, University of Central Lancashire, Preston PR1 2HE, UKSchool of Engineering, Faculty of Science and Technology, University of Central Lancashire, Preston PR1 2HE, UKSchool of Engineering, Faculty of Science and Technology, University of Central Lancashire, Preston PR1 2HE, UKSchool of Engineering, Azad University, Tehran Jonoob Branch, Tehran 1584743311, IranSchool of Engineering, Faculty of Science and Technology, University of Central Lancashire, Preston PR1 2HE, UKDepartment of water sciences & engineering, college of agriculture; Jahrom University, Jahrom 74148-46199, IranThere have been some correlations in the literature to predict the gas and liquid flow rate through wellhead chokes under subcritical flow conditions. The majority of these empirical correlations have been developed based on limited production data sets that were collected from a small number of fields. Therefore, these correlations are valid within the parameter variation ranges of those fields. If such correlations are used elsewhere for the prediction of the subcritical choke flow performance of the other fields, significant errors will occur. Additionally, there are only a few empirical correlations for sub-critical choke flow performance in high rate gas condensate wells. These led the authors to develop a new empirical correlation based on a wider production data set from different gas condensate fields in the world; 234 production data points were collected from a large number of production wells in twenty different gas condensate fields with diverse reservoir conditions and different production histories. A non-linear regression analysis method was applied to their production. The new correlation was validated with a new set of data points from some other production wells to confirm the accuracy of the established correlation. The results show that the new correlation had minimal errors and predicted the gas flow rate more accurately than the other three existing models over a wider range of parameter variation ranges.https://www.mdpi.com/1996-1073/12/20/3992choke performancesub-critical flowcritical flownon-linear regressionerror analysisgas condensatewellempirical correlations
spellingShingle Hamid Reza Nasriani
Khalid Khan
Tony Graham
Shephard Ndlovu
Mehrdad Nasriani
Jianqiang Mai
Mohammad Rafie Rafiee
An Investigation into Sub-Critical Choke Flow Performance in High Rate Gas Condensate Wells
Energies
choke performance
sub-critical flow
critical flow
non-linear regression
error analysis
gas condensate
well
empirical correlations
title An Investigation into Sub-Critical Choke Flow Performance in High Rate Gas Condensate Wells
title_full An Investigation into Sub-Critical Choke Flow Performance in High Rate Gas Condensate Wells
title_fullStr An Investigation into Sub-Critical Choke Flow Performance in High Rate Gas Condensate Wells
title_full_unstemmed An Investigation into Sub-Critical Choke Flow Performance in High Rate Gas Condensate Wells
title_short An Investigation into Sub-Critical Choke Flow Performance in High Rate Gas Condensate Wells
title_sort investigation into sub critical choke flow performance in high rate gas condensate wells
topic choke performance
sub-critical flow
critical flow
non-linear regression
error analysis
gas condensate
well
empirical correlations
url https://www.mdpi.com/1996-1073/12/20/3992
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