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Intelligent Engineering Systems through Artificial Neural Networks Volume 18Available to Purchase
Editor
Cihan H. Dagli
Cihan H. Dagli
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ISBN-10:
0791802823
ISBN:
9780791802823
No. of Pages:
700
Publisher:
ASME Press
Publication date:
2008

Estimation of contaminant transport parameters in porous media is often constrained by the inability to measure pore-scale phenomena. Use of x-ray computed tomography (CT) may provide a tool to measure fluid transport at the pore-scale to facilitate estimation of transport parameters. The objective of this study was to use x-ray CT methods to measure transport of an iodide tracer in porous media and estimate porosity, solute pore-water velocity and solute dispersivity. CT-measured breakthrough curve experiments were conducted in columns of glass beads ranging from 1.4 to 8.0 mm in diameter with four sizes. Iodide breakthrough experiments were conducted using a medical CT scanner with a voxel size 0.5 by 0.5 mm by 2.0 mm thick. Based on the breakthrough curve for each pixel, the porosity, solute pore-water velocity and solute dispersivity distributions were determined. Frequency distributions of porosity within the core samples, excluding values equal to zero and one, were found to be uniform. The frequencies of porosity equal to zero and one increased as the log of glass bead diameter increased. Dispersivity frequency distributions for three glass bead sizes needed transformations using a 0.25 power to normalize the distributions. The study illustrates that this method of analysis is potentially useful for evaluating solute transport on a macropore-scale for porous materials.

Abstract
Introduction
Materials and Methods
Results and Discussion
Summary
References
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