Simulating Progressive Cavity Pump for Multiphase Flow and Production System Design

Zhang, He; Li, Jun; Wang, Wenhao; Watters, Colin; Houeto, Okounola Ernst Fabien

doi:10.2118/152841-ms

Cited by 2 publications

References 5 publications

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Analysis and Prediction of Fluid Flow Behavior in Progressing Cavity Pumps

Al-Safran

Aql

Nguyen

2017

Journal of Fluids Engineering

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A progressing cavity pump (PCP) is a positive displacement pump with an eccentric screw movement, which is used as an artificial lift method in oil wells. Downhole PCP systems provide an efficient lifting method for heavy oil wells producing under cold production, with or without sand. Newer PCP designs are also being used to produce wells operating under thermal recovery. The objective of this study is to develop a set of theoretical operational, fluid property, and pump geometry dimensionless groups that govern fluid flow behavior in a PCP. A further objective is to correlate these dimensionless groups to develop a simple model to predict flow rate (or pressure drop) along a PCP. Four PCP dimensionless groups, namely, Euler number, inverse Reynolds number, specific capacity number, and Knudsen number were derived from continuity, Navier–Stokes equations, and appropriate boundary conditions. For simplification, the specific capacity and Knudsen dimensionless groups were combined in a new dimensionless group named the PCP number. Using the developed dimensionless groups, nonlinear regression modeling was carried out using large PCP experimental database to develop dimensionless empirical models of both single- and two-phase flow in a PCP. The developed single-phase model was validated against an independent single-phase experimental database. The validation study results show that the developed model is capable of predicting pressure drop across a PCP for different pump speeds with 85% accuracy.

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Analysis and Prediction of Fluid Flow Behavior in Progressing Cavity Pumps

Al-Safran

Aql

Nguyen

2017

Journal of Fluids Engineering

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Quick Look Methodology for Progressive Cavity Pump Sizing and Performance Monitoring

Agrawal

Baid

Mishra

et al. 2015

SPE Oil &Amp; Gas India Conference and Exhibition

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Progressive Cavity Pumps (PCPs), if properly sized, can greatly improve a well's deliverability and run-life. As a result, PCP sizing for a large number of wells can be instrumental in a production optimization program. This paper presents a quick look methodology adopted in the Bhagyam field to better understand PCP system performance and to accurately predict pump deliverability under a wide range of downhole conditions for more than a hundred wells. Using nodal analysis, this paper presents the procedure used to select optimum pump size and well fluid rates from well inflow and outflow performance. The paper also presents a correction factor for the effect of viscosity on pump performance and uses the corrected pump performance curves to model the expected liquid rate from a well. The solutions obtained with the analyses have been validated against actual Bhagyam well test data and have proved to be fairly consistent. This procedure has not only been a useful tool for pump selection and performance monitoring but has also made a significant business impact in terms of incremental oil gain.The methodology quickly provides reasonably accurate solutions for pump selection and allows evaluation of real time pump parameters to optimize PCP under varying field conditions.

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Simulating Progressive Cavity Pump for Multiphase Flow and Production System Design

Cited by 2 publications

References 5 publications

Analysis and Prediction of Fluid Flow Behavior in Progressing Cavity Pumps

Analysis and Prediction of Fluid Flow Behavior in Progressing Cavity Pumps

Quick Look Methodology for Progressive Cavity Pump Sizing and Performance Monitoring

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