الفهرس 
Title: Prediction of hydraulic properties in carbonate reservoirs using artificial neural network
AbstractOnly 14 pages are availabe for public view
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Abstract
The success of applying artificial neural networks (ANNs) to solve complex engineering problems has drawn attention to its potential applications in the petroleum industry especially in formation evaluation. In the present study, models are developed to predict the hydraulic properties (porosity and permeability) in carbonate reservoir from well logging measurements using ANN. The developed ANN model for carbonate reservoir is constructed and validated using numerous dataset collected from various worldwide carbonate reservoirs