Evolving Finite State Transducers to Interpret Deepwater Reservoir Depositional Environments

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Tina Yu and Dave Wilkinson and Julian Clark and 
                 Morgan Sullivan",
  title =        "Evolving Finite State Transducers to Interpret
                 Deepwater Reservoir Depositional Environments",
  booktitle =    "2008 IEEE World Congress on Computational
  year =         "2008",
  editor =       "Jun Wang",
  pages =        "3491--3498",
  address =      "Hong Kong",
  month =        "1-6 " # jun,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  isbn13 =       "978-1-4244-1823-7",
  file =         "EC0748.pdf",
  slides_url =   "http://www.cs.mun.ca/~tinayu/Publications_files/wcci_presentation.pdf",
  URL =          "http://www.cs.mun.ca/~tinayu/Publications_files/EC0748.pdf",
  DOI =          "doi:10.1109/CEC.2008.4631270",
  size =         "8 pages",
  abstract =     "Predicting oil recovery efficiency of deep water
                 reservoirs is a challenging task. One approach to
                 characterise and predict the producibility of a
                 reservoir is by analysing its depositional information.
                 In a deposition-based stratigraphic interpretation
                 framework, one critical step is the identification and
                 labelling of the stratigraphic components in the
                 reservoir according to their depositional information.
                 This interpretation process is labour intensive and can
                 produce different results depending on the
                 stratigrapher who performs the analysis. To relieve
                 stratigrapher's workload and to produce more consistent
                 results, this research developed a methodology to
                 automate this process using various computational
                 intelligent techniques. Using a well log data set, we
                 demonstrated that the developed methodology and the
                 designed work flow can produce finite state transducer
                 models that interpret deepwater reservoir depositional
                 environments adequately.",
  keywords =     "genetic algorithms, genetic programming",
  notes =        "WCCI 2008 - A joint meeting of the IEEE, the INNS, the
                 EPS and the IET.",

Genetic Programming entries for Tina Yu Dave Wilkinson Julian Clark Morgan Sullivan