Control and Optimization of Oil Production Using Natural Gas Lift

Document Type : Research Article

Authors

1 Faculty of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, I.R. IRAN

2 Institute of Petroleum Engineering, University of Tehran, I.R. IRAN

Abstract

This paper presents a method for controlling and optimization of an oil production system using natural gas lift concept. The process of natural gas lift consists of commingled production of an oil bearing formation with a gas bearing formation. In this process, gas is entered to oil well in a controlled manner.  Ever-increasing development of Smart Well technology and various applications of downhole monitoring and controlling instruments along with new methods of data transmission make it possible the natural gas lift system to be controlled and optimized more effectively and faster than before. With this technology it is possible to monitor the downhole conditions of gas and oil zones and to control the inflow valves in gas and oil zones. In this work, a Proportional Integral Differential (PID) feedback controller has been used to smartly control the entrance of gas from gas zone to oil well. The optimization of this process to determine the optimum setpoint of controller has been done by Differential Evolution method.

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References

[1] Betancourt S., Dahlberg K., Hovde Q., Jalali Y., Natural Gas Lift: Theory and Practice, SPE 74391, February (2002).
[2] Vasper A., Auto, Natural or Insitu Gas Lift Systems Explained, SPE 104202, December (2006).
[3] Leemhuis A., Belfroid S., Alberts G., Gas Coning Control of Smart Wells, SPE 110317, November (2007).
[4] GeoQuest (2004a), “Eclipse Reference Manual”, Schlumberger, (2004).
[5] پیشوایی، سیدمحمودرضا؛ "روش­های بهینه‌سازی در مهندسی شیمی"، جزوه درسی، دانشکده مهندسی شیمی و نفت، دانشگاه صنعتی شریف، (1385).
[6] Konopczynski M, Tolan M., Intelligent-Well Technology Used for Oil Reservoir Inflow Control and Auto-Gaslift, Offsfore India, SPE 105706, March (2007).
[7] Yeten B., Durlofsky L., Aziz K., Optimization of Nonconventional Well Type Location and Trajectory, SPE 77565, October (2002).
[8] Palke R., Horne R., Determining the Value of Reservoir Data by Using Nonlinear Optimization Techniques, SPE 38047, April (1997).
[9] Brouwer R., Jansen J., Dynamic Optimization of Water Flooding with Smart Wells Using Optimal Control Theory, SPE 78278, October (2002).

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