DocumentCode :
2639544
Title :
Generalized Predictive Control applied to intelligent production of an oil well
Author :
Qing, Yang ; Davies, David
Author_Institution :
Sch. of Electr. Eng. & Inf., Southwest Pet. Univ., Chengdu, China
fYear :
2011
fDate :
21-23 June 2011
Firstpage :
2033
Lastpage :
2038
Abstract :
The implementation of intelligent well technology into the petroleum production industry provides, for the first time, the opportunity to apply advanced control algorithms at the well or reservoir zone level. An “Intelligent” or “Smart” well is a well equipped with multiple, downhole chokes or Inflow Control Valves (ICVs) as well as downhole, real-time, data measurements of, for example, pressure, temperature and flow rate at a specific point within the well. This paper applies Generalized Predictive Control (GPC) to the ICVs for automatic regulation of the production rate or the pressure at a specified value within the flow system. A multi-zone, horizontal, intelligent well case study shows that the GPC works efficiently. The robustness of the technique was illustrated when noise and/or outliers were introduced into the output data.
Keywords :
control engineering computing; knowledge based systems; oil technology; petroleum industry; predictive control; production engineering computing; generalized predictive control; inflow control valves; intelligent production; intelligent well technology; oil well; petroleum production industry; smart well; Fluid flow; Inductors; Mathematical model; Noise; Predictive models; Production; Reservoirs; formatting; insert; style; styling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
Conference_Location :
Beijing
ISSN :
pending
Print_ISBN :
978-1-4244-8754-7
Electronic_ISBN :
pending
Type :
conf
DOI :
10.1109/ICIEA.2011.5975927
Filename :
5975927
Link To Document :
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