@incollection{TinaYu:2003:GPTP,
title = {A Hybrid {GP}-Fuzzy Approach for Reservoir
Characterization},
author = {Tina Yu and Dave Wilkinson and Deyi Xie},
booktitle = {Genetic Programming Theory and Practise},
chapter = {17},
editor = {Rick L. Riolo and Bill Worzel},
pages = {271--290},
publisher = {Kluwer},
year = {2003},
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.},
size = {19 pages}, isbn = {1-4020-7581-2}, notes = {ChevronTexaco Information Technology Company and
ChevronTexaco Exploration and Production Technology
Company},
keywords = {Characterisation, Computing, Estimation, Exploration Fuzzy Logic, Modelling. Oil Permeability Production, Reservoir Soft algorithms, and genetic programming, }
}
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