Petrophysical data prediction from seismic attributes using committee fuzzy inference system

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Petrophysical data prediction from seismic attributes using committee fuzzy inference system

This study presents an intelligent model based on fuzzy systems for making aquantitative formulation between seismic attributes and petrophysical data. The proposed methodology comprises two major steps. Firstly, the petrophysical data, including water saturation (Sw) and porosity, are predicted fro...

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Bibliographic Details
Main Authors:	Kadkhodaie Ilkhchi, A., Rezaee, M. Reza, Rahimpour-Bonab, H., Chehrazi, A.
Format:	Journal Article
Published:	Elsevier 2009
Subjects:	seismic attributes probabilistic neural network Mamdani petrophysical data hybrid genetic - algorithm-pattern search Larsen Sugeno Committee fuzzy inference system
Online Access:	http://hdl.handle.net/20.500.11937/45044

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