Making smart wells equipped with electric submersible pump units

2018 ◽  
pp. 130-133
Author(s):  
S.S. Ulianov ◽  
◽  
R.I. Sagyndykov ◽  
D.S. Davydov ◽  
S.A. Nosov ◽  
...  
Keyword(s):  
Submersible Pump ◽  
Smart Wells ◽  
Electric Submersible Pump

Design of ride-through solutions for electric submersible pump with adjustable speed drive

2017 ◽  
pp. 109-112
Author(s):  
A.S. Martianov ◽  
◽  
V.P. Frayshteter ◽  
V.V. Sushkov ◽  
◽  
...  
Keyword(s):  
Submersible Pump ◽  
Adjustable Speed Drive ◽  
Adjustable Speed ◽  
Electric Submersible Pump

Switched Reluctance Motor for Electric Submersible Pump

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Robert Adams ◽  
Jinjiang Xiao ◽  
Michael Cross ◽  
Max Deffenbaugh
Keyword(s):  
State Space ◽  
Performance Feedback ◽  
Motor System ◽  
Reverse Direction ◽  
Submersible Pump ◽  
Pump System ◽  
Switched Reluctance ◽  
Precise Control ◽  
And Control ◽  
Electric Submersible Pump

Switched reluctance motors may be advantageous when used as the primary motor for an electric submersible pump system.  They are less susceptible to jamming failures due to their high starting torque and ability to reverse direction.  Driving these motors requires well-timed pulse waveforms and precise control of the motor based on its rotational position.  In general, voltage-based sensing and control systems at the surface see highly unpredictable waveforms with excessive ringing behaviour due to the impedance characteristics of the long cabling between the surface controller and the downhole motor system.  In this work, a system is detailed which monitors the current waveforms on the motor coil excitation conductors at the surface as a source of motor performance feedback and control.  State-space modelling of the system shows stable current waveforms at the surface controller for both short and long interconnect cable systems.  A laboratory demonstration of the surface controller, interconnect cabling, and motor system is shows excellent agreement with the current and voltage waveforms predicted by the state-space system model.

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