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SUMMARY:Model-Based Control and Optimization Challenges in Reservoir Engin
 eering.
DTSTART:20100311T101500
DTSTAMP:20260407T020829Z
UID:30e2bfa8ab8368dd3562ff1131ab249b3bbb1b5948becae3c5859510
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. P. Van den Hof\, Delft Center for Systems and Control\, 
 Delft University of Technology\, The Netherlands. \nDue to urgent needs to
  increase efficiency in oil recovery from subsurface reservoirs\, new \nte
 chnology is developed that allows more detailed sensing and actuation of m
 ultiphase flow \nproperties in oil reservoirs. One of the examples is the 
 controlled injection of water through \ninjection wells with the purpose t
 o displace the oil in an appropriate direction. This technology \nenables 
 the application of model-based optimization and control techniques to opti
 mize \nproduction over the entire production period of a reservoir\, which
  can be around 25 years. \nLarge-scale reservoir flow models are used for 
 optimizing production settings\, but suffer from \nhigh levels of uncertai
 nty and limited validation options. One of the challenges is the \ndevelop
 ment of reduced complexity models that deliver accurate long-term predicti
 ons\, and at \nthe same time are not more complex than can be warranted by
  the amount of data that is \navailable. In this paper\, an overview will 
 be given of the problems and opportunities for model-\nbased control and o
 ptimization in this field aiming at the development of a closed-loop \nres
 ervoir management system.
LOCATION:MEC2405
STATUS:CONFIRMED
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