Model-Based Control and Optimization Challenges in Reservoir Engineering.
Event details
| Date | 11.03.2010 |
| Hour | 10:15 |
| Speaker | Prof. P. Van den Hof, Delft Center for Systems and Control, Delft University of Technology, The Netherlands. |
| Location |
MEC2405
|
| Category | Conferences - Seminars |
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.
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Practical information
- General public
- Free