A Co-Evolutionary Fuzzy System for Reservoir Well Logs Interpretation

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InCollection{Yu:2008:ECP,
  author =       "Tina Yu and David Wilkinson",
  title =        "A Co-Evolutionary Fuzzy System for Reservoir Well Logs
                 Interpretation",
  booktitle =    "Evolutionary Computation in Practice",
  publisher =    "Springer",
  year =         "2008",
  editor =       "Tina Yu and David Davis and Cem Baydar and 
                 Rajkumar Roy",
  volume =       "88",
  series =       "Studies in Computational Intelligence",
  chapter =      "9",
  pages =        "199--218",
  keywords =     "genetic algorithms, genetic programming, Fuzzy Logic,
                 Time Series",
  isbn13 =       "978-3-540-75770-2",
  URL =          "http://www.cs.mun.ca/~tinayu/Publications_files/ecp_chap9.pdf",
  DOI =          "doi:10.1007/978-3-540-75771-9_9",
  size =         "20 pages",
  abstract =     "Well log data are routinely used for stratigraphic
                 interpretation of the earth's subsurface. This paper
                 investigates using a co-evolutionary fuzzy system to
                 generate a well log interpreter that can automatically
                 process well log data and interpret reservoir
                 permeability. The methodology consists of 3 steps: 1)
                 transform well log data into fuzzy symbols which
                 maintain the character of the original log curves; 2)
                 apply a co-evolutionary fuzzy system to generate a
                 fuzzy rule set that classifies permeability ranges; 3)
                 use the fuzzy rule set to interpret well logs and infer
                 the permeability ranges. We present the developed
                 techniques and test them on well log data collected
                 from oil fields in offshore West Africa. The generated
                 fuzzy rules give sensible interpretation. This result
                 is encouraging in two respects. It indicates that the
                 developed well log transformation method preserves the
                 information required for reservoir properties
                 interpretation. It also suggests that the developed
                 co-evolutionary fuzzy system can be applied to generate
                 well log interpreters for other reservoir properties,
                 such as lithology.",
  notes =        "Part of \cite{TinaYu:2008:book}

                 PolyGP, Java, Chevron. Or-crossover, and-crossover,
                 homologous crossover.",
}

Genetic Programming entries for Tina Yu David Wilkinson

Citations