Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/809
Title: Prediction of Premeability and Effective Porosity from Wireline Logs Using Flow Zone Indicator Concept and artificail Neural network
Authors: Athbi Abdullah Al-Sultan 
Supervisor: Prof. Ali Ameur Garrouch
Keywords: Premeability
Issue Date: 2017
Publisher:  Kuwait university - college of graduate studies
Abstract: Premeability and porosity are two fundamental reservoir properties which are used very widely in petroleum engineering ,and geosciences . permeability is important to quantify how fast reserves can be produced . whereas porosity is crucial for quantifying the amount of hydrocarbon reserves . therefore , predicting porosity and permeability is a key factor for formation evaluation and for reservoir characterization .
URI: http://hdl.handle.net/123456789/809
Appears in Programs:0650 Petroleum Engineering

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