Network analysis of filter cake pore structure by high resolution X-ray microtomography

Continuous filtration of fine particles involves filter cake formation and removal of surface moisture by drawing air through the pore structure network. Conventional network theory can be used to study the phenomena of flow through a porous structure by treating the pores as discrete volumes and connecting these with pore throats as resistances of zero volume. In this regard, analysis of the pore connectivity in a packed bed of particles should allow for a detailed description of fluid flow and transport in the filter cake structure. As the resolution and the techniques for 3-D geometric analysis have advanced in the last decade, it is now possible to specify in detail the pore structure in three-dimensional digital space using high-resolution X-ray microtomography to resolve features with micrometer resolution. This paper presents preliminary experimental findings of a filter cake pore structure in 3-D using X-ray microtomographic techniques.

[1]  R. Hogg,et al.  The role of cake structure in the dewatering of fine coal by filtration , 1996 .

[2]  Gilles Bertrand,et al.  A simple parallel 3D thinning algorithm , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.

[3]  Arthur W. Rose,et al.  Porous media: Fluid transport and pore structure (2nd Ed.) , 1993 .

[4]  G. Borgefors Distance transformations in arbitrary dimensions , 1984 .

[5]  S. Pizer,et al.  Marching cores: a method for extracting cores from 3D medical images , 1996, Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis.

[6]  J. Happel,et al.  Low Reynolds number hydrodynamics , 1965 .

[7]  L. Svarovsky 9 – Filtration fundamentals , 1977 .

[8]  J. Parlange Porous Media: Fluid Transport and Pore Structure , 1981 .

[9]  Olaf Kübler,et al.  Medial manifolds and hierarchical description of 2D and 3D objects with applications to MRI data of , 1993 .

[10]  P. Carman Fluid flow through granular beds , 1997 .

[11]  Milan Sonka,et al.  A Fully Parallel 3D Thinning Algorithm and Its Applications , 1996, Comput. Vis. Image Underst..

[12]  Raoul Kopelman,et al.  Percolation and cluster distribution. I. Cluster multiple labeling technique and critical concentration algorithm , 1976 .

[13]  Joseph Hoshen,et al.  Percolation and cluster distribution. III. Algorithms for the site-bond problem , 1979 .

[14]  L. Feldkamp,et al.  Practical cone-beam algorithm , 1984 .

[15]  King-Sun Fu,et al.  A parallel thinning algorithm for 3-D pictures , 1981 .

[16]  Jan D. Miller,et al.  Cone beam X-ray microtomography for three-dimensional liberation analysis in the 21st century , 1996 .

[17]  P. M. Heertjes,et al.  Homogeneous particle packings and porous masses. Some experimental techniques , 1974 .

[18]  Rangasami L. Kashyap,et al.  Building Skeleton Models via 3-D Medial Surface/Axis Thinning Algorithms , 1994, CVGIP Graph. Model. Image Process..

[19]  R. Ehrlich,et al.  Petrographic Image Analysis, I. Analysis of Reservoir Pore Complexes , 1984 .

[20]  Deborah Silver,et al.  Parameter Controlled Skeletonization of Three Dimensional Objects Computer Aids for Industrial Productivity Table of Contents , 1997 .

[21]  Prediction of Relative Permeability and Capillary Pressure from Pore-Scale Modelling , 1996 .

[22]  L. Tomutsa,et al.  Multinuclear NMR microscopy of two-phase fluid systems in porous rock. , 1996, Magnetic resonance imaging.