A fuzzy logic approach for estimation of permeability and rock type from conventional well log data: an example from the Kangan reservoir in the Iran Offshore Gas Field

A fuzzy logic approach for estimation of permeability and rock type from conventional well log data: an example from the Kangan reservoir in the Iran Offshore Gas Field

Permeability and rock type are the most important rock properties which can be used as input parameters to build 3D petrophysical models of hydrocarbon reservoirs. These parameters are derived from core samples which may not be available for all boreholes, whereas, almost all boreholes have well log...

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Bibliographic Details
Main Authors: Kadkhodaie Ilkhchi, A., Rezaee, M. Reza, Moallemi, A.
Format: Journal Article
Published: Institute of Physics Publishing IOP 2006
Subjects:
fuzzy logic
Kangan reservoir
Iran offshore gas field
fuzzy c-means clustering
back propagation neural network
rock types
permeability
Online Access:http://hdl.handle.net/20.500.11937/33386

Internet

http://hdl.handle.net/20.500.11937/33386

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