Model-Based Control and Optimization of Large Scale Physical Systems - Challenges in Reservoir Engineering

Model-Based Control and Optimization of Large Scale Physical Systems - Challenges in Reservoir Engineering

Van den Hof, P.M.J.
Jansen, J.D.
Van Essen, G.M.
Bosgra, O.H.

Mechanical, Maritime and Materials Engineering

Delft Center for Systems and Control

2009-08-07

Due to urgent needs to increase efficiency in oil recovery from subsurface reservoirs new technology is developed that allows more detailed sensing and actuation of multiphase flow properties in oil reservoirs. One of the examples is the controlled injection of water through injection wells with the purpose to displace the oil in an appropriate direction. This technology enables the application of model-based optimization and control techniques to optimize production over the entire production period of a reservoir, which can be around 25 years. Large scale reservoir flow models are used for optimizing production settings, but suffer from high levels of uncertainty and limited validation options. One of the challenges is the development of reduced complexity models that deliver accurate long-term predictions, and at the same time are not more complex than can be warranted by the amount of data that is available. In this paper an overview will be given of the problems and opportunities for model-based control and optimization in this field aiming at the development of a closed-loop reservoir management system.

petroleum
reservoir
optimization

http://resolver.tudelft.nl/uuid:c58b5999-da12-4a62-876f-95d7784edf91

IEEE

Chinese Control and Decision Conference - CCDC '09, 17-19 June 2009, Guilin, China

Institutional Repository

conference paper

(c) 2009 The Author(s) ; IEEE