Petrophysical data prediction from seismic attributes using committee fuzzy inference system

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

Internet

http://hdl.handle.net/20.500.11937/45044

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