Coevolution of Simulator Proxies and Sampling Strategies for Petroleum Reservoir Modeling

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@InProceedings{Yu3:2009:cec,
  author =       "Tina Yu and Dave Wilkinson",
  title =        "Coevolution of Simulator Proxies and Sampling
                 Strategies for Petroleum Reservoir Modeling",
  booktitle =    "2009 IEEE Congress on Evolutionary Computation",
  year =         "2009",
  editor =       "Andy Tyrrell",
  pages =        "2677--2684",
  address =      "Trondheim, Norway",
  month =        "18-21 " # may,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  isbn13 =       "978-1-4244-2959-2",
  file =         "P581.pdf",
  slides_url =   "http://www.cs.mun.ca/~tinayu/Publications_files/cec2009ppt.pdf",
  URL =          "http://www.cs.mun.ca/~tinayu/Publications_files/cec2009.pdf",
  DOI =          "doi:10.1109/CEC.2009.4983278",
  size =         "8 pages",
  abstract =     "Reservoir modeling is an on-going activity during the
                 production life of a reservoir. One challenge to
                 constructing accurate reservoir models is the time
                 required to carry out a large number of computer
                 simulations. This research investigates a competitive
                 co-evolutionary algorithm to select a small number of
                 informative reservoir samples to carry out computer
                 simulation. The simulation results are also used to
                 co-evolve the computer simulator proxies. We have
                 developed a co-evolutionary system incorporating
                 various techniques to conduct a case study. Although
                 the system was able to select a very small number of
                 reservoir samples to run the computer simulations and
                 use the simulation data to construct simulator proxies
                 with high accuracy, these proxy models do not
                 generalize very well on a larger set of simulation data
                 generated from our previous study. Nevertheless, we
                 have identified that including a test-bank in the
                 system helped mitigating the situation. We will conduct
                 more systematic analysis of the competitive
                 co-evolutionary dynamics to improve the system
                 performance.",
  keywords =     "genetic algorithms, genetic programming",
  notes =        "CEC 2009 - A joint meeting of the IEEE, the EPS and
                 the IET. IEEE Catalog Number: CFP09ICE-CDR",
}

Genetic Programming entries for Tina Yu Dave Wilkinson

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