%0 Book Section %1 TinaYu:2003:GPTP %A Yu, Tina %A Wilkinson, Dave %A Xie, Deyi %B Genetic Programming Theory and Practise %D 2003 %E Riolo, Rick L. %E Worzel, Bill %I Kluwer %K Characterisation, Computing, Estimation, Exploration Fuzzy Logic, Modelling. Oil Permeability Production, Reservoir Soft algorithms, and genetic programming, %P 271--290 %T A Hybrid GP-Fuzzy Approach for Reservoir Characterization %X 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. %& 17 %@ 1-4020-7581-2

@incollection{TinaYu:2003:GPTP, 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.}, added-at = {2008-06-19T17:35:00.000+0200}, author = {Yu, Tina and Wilkinson, Dave and Xie, Deyi}, biburl = {https://www.bibsonomy.org/bibtex/27d55b5afbfaaf6b921a3c4eca54d6fa8/brazovayeye}, booktitle = {Genetic Programming Theory and Practise}, chapter = 17, editor = {Riolo, Rick L. and Worzel, Bill}, interhash = {e50ddbb92a9af7e5b5e3fcc9316f5e1c}, intrahash = {7d55b5afbfaaf6b921a3c4eca54d6fa8}, isbn = {1-4020-7581-2}, keywords = {Characterisation, Computing, Estimation, Exploration Fuzzy Logic, Modelling. Oil Permeability Production, Reservoir Soft algorithms, and genetic programming,}, notes = {ChevronTexaco Information Technology Company and ChevronTexaco Exploration and Production Technology Company}, pages = {271--290}, publisher = {Kluwer}, size = {19 pages}, timestamp = {2008-06-19T17:55:03.000+0200}, title = {A Hybrid {GP}-Fuzzy Approach for Reservoir Characterization}, year = 2003 }