Choke pressure in pipeline restrictions

Morris, S.D.

doi:10.1016/0304-3894(96)01786-4

Cited by 9 publications

(4 citation statements)

References 1 publication

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“…This result in a Mach number of the fluid that is greater than or equal to one. For fluids with a velocity greater than sonic velocity, any downstream perturbation is unable to propagate upstream and the mass flow rate through the choke is solely a function of the upstream parameters, in other words, in a critical flow region, the mass flow rate reaches a maximum value that is independent of a pressure drop applied across the choke (Morris, 1996;Grace and Frawley, 2011). Therefore, once critical flow is reached, any disturbance introduced downstream of the choke will have no effect on upstream conditions (Nøkleberg and Søntvedt, 1998).…”

Section: Introductionmentioning

confidence: 98%

A simple predictive tool to estimate flow coefficient for subsonic natural gas flow through nozzle-type chokes

Bahadori

2012

Journal of Natural Gas Science and Engineering

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Section: Introductionmentioning

confidence: 98%

A simple predictive tool to estimate flow coefficient for subsonic natural gas flow through nozzle-type chokes

Bahadori

2012

Journal of Natural Gas Science and Engineering

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“…When the fluid velocity is greater than the sonic velocity at the lowest cross‐sectional area, critical flow happens leading to the fluid's Mach number of equal or greater than unity. In this manner, the upstream parameters are independent of downstream disturbance which are unable to spread the upstream; thus, the flow rate is a function of upstream pressure only, in which it will achieve its maximum value . For fluid velocities less than the sound velocity, the subcritical or subsonic flow will occur; consequently, the pressure drawdown across the choke will affect the flow rate, and the upstream pressure is a function of the downstream one .…”

Section: Introductionmentioning

confidence: 99%

“…In this manner, the upstream parameters are independent of downstream disturbance which are unable to spread the upstream; thus, the flow rate is a function of upstream pressure only, in which it will achieve its maximum value. [6][7][8] For fluid velocities less than the sound velocity, the subcritical or subsonic flow will occur; consequently, the pressure drawdown across the choke will affect the flow rate, and the upstream pressure is a function of the downstream one. [9] Mostly, the chokes are planned to work in the region of critical fluid flow for inhibition of perturbations in surface facilities.…”

Section: Introductionmentioning

confidence: 99%

Toward gene expression programming for accurate prognostication of the critical oil flow rate through the choke: correlation development

Rostami

Ebadi

2017

Asia-Pacific J Chem Eng

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In this study, gene expression programming (GEP) was employed to develop a new equation for calculating choke flow rate as a function of fluid properties and wellhead choke characteristics. For this reason, a comprehensive databank was adopted from the petroleum industry, and then, the databank was split into three groups of training set for model construction (70% of database), test set for model evaluation (15% of database), and validation set for avoiding over‐fitting problem (15% of database). For assessing of GEP model, numerous statistical and graphical tools were applied, and then, it was compared with widely applied literature correlations. Consequently, the proposed tool in this study gives the best fit with the actual flow rate data with the average absolute relative deviation of 11.0872% and determination coefficient (R2) of 0.9695. Additionally, cumulative frequency plot demonstrates that the GEP model has the highest frequency over the database. The outcomes of the GEP model were also compared with the outputs of the artificial neural network (ANN) revealing the higher precision of the ANN than the proposed GEP model in this study. At the end, it is worthwhile that the suggested model can be used as reliable tool for choke performance modeling. © 2017 Curtin University and John Wiley & Sons, Ltd.

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“…Analytical and empirical approaches are considered the main two approaches to predict the multiphase fluid flow through wellhead chokes [8][9][10][11][12][13]. There are numerous analytical and empirical correlations for the prediction of choke performance relationships [14][15][16][17][18]. Tangren et al (1949) were the first investigators to analytically model the two-phase flow through chokes.…”

mentioning

confidence: 99%

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

et al. 2019

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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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Choke pressure in pipeline restrictions

Cited by 9 publications

References 1 publication

A simple predictive tool to estimate flow coefficient for subsonic natural gas flow through nozzle-type chokes

A simple predictive tool to estimate flow coefficient for subsonic natural gas flow through nozzle-type chokes

Toward gene expression programming for accurate prognostication of the critical oil flow rate through the choke: correlation development

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

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