Title :
Model-based optimization and control of subsurface flow in oil reservoirs
Author :
Van den Hof, Paul M. J. ; Jansen, Jan Dirk ; van Essen, Gijs ; Heemink, Arnold
Author_Institution :
Dept. of Electr. Eng., Eindhoven Univ. of Technol., Eindhoven, Netherlands
Abstract :
The field of petroleum reservoir engineering provides interesting challenges for model-based control and optimization. The development of operational strategies for optimizing petroleum production over the life time of a reservoir requires the maximum use of modelling, data-analysis and assimilation, and multi time-scale optimization of nonlinear large-scale systems on the basis of uncertain information.
Keywords :
data analysis; flow control; oil technology; optimisation; predictive control; process control; data assimilation; data-analysis; model predictive control; model-based optimization; multitime-scale optimization; nonlinear large-scale systems; oil reservoirs; operational strategy; petroleum production optimization; petroleum reservoir engineering; subsurface flow control; uncertain information; Geology; Optimization; Petroleum; Predictive models; Production; Reservoirs; Dynamic optimization; data assimilation; identifiability; model predictive control; model reduction; model-based control; parameter estimation; process control; real-time optimization; reservoir engineering; system identification;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
