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An Intelligent Pumping System to Cope With Gas Volume Fraction of the Oil-Well Multi-Phase Flow

[+] Author Affiliations
Ali Hashemi, Ala E. Omrani, Matthew A. Franchek, Karolos Grigoriadis, Behrouz Ebrahimi

University of Houston, Houston, TX

Paper No. DSCC2014-6171, pp. V003T37A006; 9 pages
  • ASME 2014 Dynamic Systems and Control Conference
  • Volume 3: Industrial Applications; Modeling for Oil and Gas, Control and Validation, Estimation, and Control of Automotive Systems; Multi-Agent and Networked Systems; Control System Design; Physical Human-Robot Interaction; Rehabilitation Robotics; Sensing and Actuation for Control; Biomedical Systems; Time Delay Systems and Stability; Unmanned Ground and Surface Robotics; Vehicle Motion Controls; Vibration Analysis and Isolation; Vibration and Control for Energy Harvesting; Wind Energy
  • San Antonio, Texas, USA, October 22–24, 2014
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-4620-9
  • Copyright © 2014 by ASME


A novel approach is presented to model the interplay between the gas volume fraction (GVF) and the driving force of the pumping unit. A physics-based model is proposed to predict the down-hole pressure for a constant, but unknown GVF and given oil flow-rate out of the well. The identified down-hole pressure is used to model the saddle-bearings axial displacements, which are indicative of polished-rod loading. The imbalance between the data obtained from the detailed model of the pumping unit, and predicted bearing’s displacements can be employed then to estimate the value of the GVF. The resulted GVF is incorporated into the sucker-rod string dynamics to determine the natural frequency of the system. A control strategy is then used to adjust the pump speed to compensate for the GVF variations while avoiding the resonance frequency of the sucker-rod string. A low dimensional simulation is performed and the results are demonstrated for upstroke movement of the sucker-rod.

Copyright © 2014 by ASME



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