Title :
Gas-oil ratio self tuning controller in gas lift system
Author :
Gheybe, M. ; Mirzaee, A. ; Talebi, R.A. ; Suratgar, A.A.
Author_Institution :
Amirkabir Univ. of Technol., Tehran, Iran
Abstract :
This paper proposes a natural gas-lift system to increases production efficiency in smart wells. The main idea is to design an appropriate controller that improves reservoir condition and increases the well cumulated oil production by controlling the daily gas-oil ratio (GOR). In the proposed system, the procedure of injecting gas is entered into the well in a controlled way which a self-tuning controller is used to manage daily GOR. One of the most considerable advantages of this method is that daily GOR sets by the controller as proportion of earlier days actual GOR and optimal GOR; so it is independent of gas injection - producing oil system dynamics behavior.
Keywords :
adaptive control; natural gas technology; GOR; daily gas-oil ratio; gas-oil ratio self tuning controller; natural gas-lift system; oil production; production efficiency; smart wells; Neurons; Optimization; Production; Reservoirs; Sociology; Statistics; Vectors;
Conference_Titel :
Control, Instrumentation, and Automation (ICCIA), 2013 3rd International Conference on
Conference_Location :
Tehran
DOI :
10.1109/ICCIAutom.2013.6912829