A Hybrid GP-Fuzzy Approach for Reservoir Characterization
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InCollection{TinaYu:2003:GPTP,
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author = "Tina Yu and Dave Wilkinson and Deyi Xie",
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title = "A Hybrid GP-Fuzzy Approach for Reservoir
Characterization",
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booktitle = "Genetic Programming Theory and Practice",
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publisher = "Kluwer",
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year = "2003",
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editor = "Rick L. Riolo and Bill Worzel",
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chapter = "17",
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pages = "271--289",
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keywords = "genetic algorithms, genetic programming, Oil
Exploration and Production, Reservoir Characterisation,
Soft Computing, Permeability Estimation, Fuzzy Logic,
Fuzzy Modelling.",
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ISBN = "1-4020-7581-2",
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URL = "http://www.cs.mun.ca/~tinayu/Publications_files/gptp2003.pdf",
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URL = "http://www.springer.com/computer/ai/book/978-1-4020-7581-0",
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DOI = "doi:10.1007/978-1-4419-8983-3_17",
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abstract = "A hybrid GP-fuzzy approach to model reservoir
permeability is presented. This approach uses a
two-step divide-and-conquer process for modelling.
First, GP is applied to construct classifiers that
identify permeability ranges. Within each range, ANFIS
is employed to build a Takagi-Sugeno-Kang fuzzy
inference system that gives permeability estimation. We
applied this method to five well log data sets. The
results show that this hybrid system gives more
accurate permeability estimation than other previous
works.",
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notes = "ChevronTexaco Information Technology Company and
ChevronTexaco Exploration and Production Technology
Company. Part of \cite{RioloWorzel:2003}",
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size = "19 pages",
- }
Genetic Programming entries for
Tina Yu
Dave Wilkinson
Deyi Xie
Citations