Direct prediction of structure and permeability of flocculated structures and sediments using 3D tomographic imaging

3D visualizations of the microstructure of flocculated particulates and sediments using optical confocal laser microscopy and high resolution X-ray microtomography methods are described. Data obtained from in situ measurements should enable direct computation of the properties of solids assembly (shape, size, contact area) and their permeability to fluids. A specific application relating to the formation of silica aggregates is described from which the behaviour of sediments containing these materials can be predicted on the basis of a bench-top test and the use of a Lattice Boltzmann simulation. It is proposed that the method can potentially be used to predict trends such as the filtration behaviour of porous structures under different states of compression. This offers a significant benefit in assisting the formulation design of flocculated materials pertinent to a number of industrial sectors wishing to design optimal filtration or relevant operations.

[1]  John G. Hagedorn,et al.  Large Scale Simulations of Single and Multi-Component Flow in Porous Media | NIST , 1999 .

[2]  Xiaodong Jia,et al.  Tomographic imaging of particulate systems , 2003 .

[3]  John Gregory,et al.  The role of floc density in solid-liquid separation☆ , 1998 .

[4]  G. Bickert,et al.  Characterisation of short-range structure of silica aggregates—implication to sediment compaction , 2004 .

[5]  Richard A Williams,et al.  A packing algorithm for particles of arbitrary shapes , 2001 .

[6]  A. Donald,et al.  Applications of environmental scanning electron microscopy to colloidal aggregation and film formation , 2000 .

[7]  Filippov.  Drag and Torque on Clusters of N Arbitrary Spheres at Low Reynolds Number. , 2000, Journal of colloid and interface science.

[8]  Reg Davies,et al.  Particle science and technology—a view at the millennium☆ , 2001 .

[9]  Jan D. Miller,et al.  Pore structure and network analysis of filter cake , 2000 .

[10]  Thill,et al.  Determination of Structure of Aggregates by Confocal Scanning Laser Microscopy. , 1998, Journal of colloid and interface science.

[11]  James M. Keller,et al.  Lattice-Gas Cellular Automata: Inviscid two-dimensional lattice-gas hydrodynamics , 1997 .

[12]  P. Callaghan.  Principles of Nuclear Magnetic Resonance Microscopy , 1991 .

[13]  J. Raper,et al.  On techniques for the measurement of the mass fractal dimension of aggregates. , 2002, Advances in colloid and interface science.

[14]  Jan D. Miller,et al.  Pore structure analysis of particle beds for fluid transport simulation during filtration , 2004 .

[15]  Xiaodong Jia,et al.  Simulation of simultaneous aggregation and sedimentation , 2000 .

[16]  Y. Qian,et al.  Lattice BGK Models for Navier-Stokes Equation , 1992 .

[17]  Mark L. Rivers,et al.  Using X-ray computed tomography in hydrology: systems, resolutions, and limitations , 2002 .

[18]  A. Blaaderen.  Imaging individual particles in concentrated colloidal dispersions by confocal scanning light microscopy , 1993 .

[19]  C. Selomulya,et al.  Aggregation mechanisms of latex of different particle sizes in a controlled shear environment , 2002 .

[20]  MRI velocimetry and lattice-Boltzmann simulations of viscous flow of a Newtonian liquid through a dual porosity fibre array. , 2001, Magnetic resonance imaging.

[21]  C Michelet,et al.  3D MAPPING OF INDIVIDUAL CELLS USING A PROTON MICROBEAM , 1999 .