Experimental parametric equation for the prediction of valve coefficient (Cv) for choke valve trims

Grace, Andrew; Frawley, Patrick J.

doi:10.1016/j.ijpvp.2010.11.002

Cited by 25 publications

(16 citation statements)

References 1 publication

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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%

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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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 case, a special cylinder valve core for MPD has been developed by T3 Energy Services and Expro International Group Ltd. [10], which has been widely used by Schlumberger, Weatherford, Optimal, and other oil companies. The flow coefficient ( V ) of the new valve core changes with a linear relationship in the range of 30%-70% opening size, but the − Δ relationship of the new throttle valve changes nonlinearly, which means this valve core cannot meet all working conditions in MPD [11,12]. If a new valve core with linear − Δ relationship is developed, V will no longer be the only parameter from which the MPD control system calculates theoretical pressure drop, because theoretical pressure drop can also be calculated directly from the opening size ( ) of the valve core.…”

Section: Introductionmentioning

confidence: 99%

Experimental Validation on a New Valve Core of the Throttle Valve in Managed Pressure Drilling

Wang

Tao

Liu

et al. 2014

Advances in Mechanical Engineering

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This paper is concerned with experimental investigation of the linear opening-pressure drop ( −Δ ) relationship of new valve core in managed pressure drilling (MPD). Based on the linear − Δ relationship in theoretical results, the actual − Δ relationships are obtained by testing the flow rate, displacement of the valve core, and pressures at the import and export. Under all three working conditions, the theoretical −Δ relationship almost agrees with the experimental result, and the accuracy of the theoretical design is validated. In addition, the flow coefficient ( V ) is also tested in the experimental process to judge the throttling characteristics of the new valve core and the proper working conditions.

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“…The valve products of these two companies have been widely used by Schlumberger, Weatherford, Optimal, and other oil companies. In these throttle valves, the flow coefficient (Cv) changes with a linear relationship in the range of 30%-70% valve openings, but the throttle pressure changes nonlinearly which cannot meet all 2 Advances in Mechanical Engineering the conditions in MPD [10,11]. Therefore, it is necessary to develop a new throttle valve, in which the throttle pressure changes linearly with the valve opening.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Modeling and Validation on a New Valve Core of the Throttle Valve in MPD

Liu

Wang

et al. 2013

Advances in Mechanical Engineering

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To achieve different demands for pressure control in managed pressure drilling (MPD), the relationship between the pressure difference and the valve opening was analyzed in the working process of MPD throttle. The throttle flow area equation and the flow area isosurface equation at different openings were derived. Then, the mathematical model of the throttle valve surface shape was established by solving the envelope curve of isosurface cluster. Furthermore, the shape curve equation of the valve core surface was derived and modified by applying this mathematical model. Finally, to verify the performance of this investigation, the comparison of the results between simulation and design values was performed. The results showed that the correlation between the throttle pressure difference and the valve opening is linearly related, which proves the correctness of the mathematical model for the throttle valve surface.

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Experimental parametric equation for the prediction of valve coefficient (Cv) for choke valve trims

Cited by 25 publications

References 1 publication

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

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

Experimental Validation on a New Valve Core of the Throttle Valve in Managed Pressure Drilling

Mathematical Modeling and Validation on a New Valve Core of the Throttle Valve in MPD

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