Fractal Morphology, Spatial Order, and Pore Structure in Microporous Membrane Filters

Langmuir ◽  
1996 ◽  
Vol 12 (26) ◽  
pp. 6446-6451 ◽  
Author(s):  
Luca Cipelletti ◽  
Marina Carpineti ◽  
Marzio Giglio
Keyword(s):  
Pore Structure ◽  
Microporous Membrane ◽  
Spatial Order ◽  
Membrane Filters

Diffusion of dextran through microporous membrane filters

1994 ◽  
Vol 88 (2-3) ◽  
pp. 253-261 ◽  
Author(s):  
Laurent Lebrun ◽  
Guy-Alain Junter
Keyword(s):  
Microporous Membrane ◽  
Membrane Filters

Effects of structure and charge on the diffusive salt permeation across microporous membrane filters

1988 ◽  
Vol 36 ◽  
pp. 31-44 ◽  
Author(s):  
F. Martínez-Villa ◽  
L. Martinez ◽  
J.I. Arribas ◽  
F. Tejerina
Keyword(s):  
Microporous Membrane ◽  
Membrane Filters

Static light scattering characterisation of microporous membrane filters

1996 ◽  
Vol 383 (1-3) ◽  
pp. 31-35 ◽  
Author(s):  
Luca Cipelletti ◽  
Marina Carpineti ◽  
Marzio Giglio
Keyword(s):  
Light Scattering ◽  
Static Light Scattering ◽  
Microporous Membrane ◽  
Membrane Filters

A filtration model of microporous membrane filters in liquids

KSME Journal ◽  
1994 ◽  
Vol 8 (1) ◽  
pp. 78-87 ◽  
Author(s):  
Jae-Keun Lee ◽  
Benjamin Y. H. Liu
Keyword(s):  
Microporous Membrane ◽  
Membrane Filters ◽  
Filtration Model

Transfer Technique for Electron Microscopy of Membrance Filter Samples

1974 ◽  
Vol 32 ◽  
pp. 554-555
Author(s):  
Lawrence W. Ortiz ◽  
Bonnie L. Isom
Keyword(s):  
Electron Microscopy ◽  
Electron Microscope ◽  
Pore Size ◽  
Membrane Filters ◽  
Size Dependent

A procedure is described for the quantitative transfer of fibers and particulates collected on membrane filters to electron microscope (EM) grids. Various Millipore MF filters (Millipore AA, HA, GS, and VM; 0.8, 0.45, 0.22 and 0.05 μm mean pore size) have been used with success. Observed particle losses have not been size dependent and have not exceeded 10%. With fibers (glass or asbestos) as the collected media this observed loss is approximately 3%.

Correlation of Pore Structure and Permeability by SEM-Image Analysis

1990 ◽  
Vol 48 (1) ◽  
pp. 428-429
Author(s):  
C. A. Callender ◽  
Wm. C. Dawson ◽  
J. J. Funk
Keyword(s):  
Image Analysis ◽  
Pore Structure ◽  
Imaging System ◽  
Pore Space ◽  
Simulation Models ◽  
Image Analyzer ◽  
Imaging Data ◽  
Sem Images ◽  
Thin Sections ◽  
Rock Types

The geometric structure of pore space in some carbonate rocks can be correlated with petrophysical measurements by quantitatively analyzing binaries generated from SEM images. Reservoirs with similar porosities can have markedly different permeabilities. Image analysis identifies which characteristics of a rock are responsible for the permeability differences. Imaging data can explain unusual fluid flow patterns which, in turn, can improve production simulation models.Analytical SchemeOur sample suite consists of 30 Middle East carbonates having porosities ranging from 21 to 28% and permeabilities from 92 to 2153 md. Engineering tests reveal the lack of a consistent (predictable) relationship between porosity and permeability (Fig. 1). Finely polished thin sections were studied petrographically to determine rock texture. The studied thin sections represent four petrographically distinct carbonate rock types ranging from compacted, poorly-sorted, dolomitized, intraclastic grainstones to well-sorted, foraminiferal,ooid, peloidal grainstones. The samples were analyzed for pore structure by a Tracor Northern 5500 IPP 5B/80 image analyzer and a 80386 microprocessor-based imaging system. Between 30 and 50 SEM-generated backscattered electron images (frames) were collected per thin section. Binaries were created from the gray level that represents the pore space. Calculated values were averaged and the data analyzed to determine which geological pore structure characteristics actually affect permeability.

Dynamics and spatial order of atoms confined in an optical lattice

1997 ◽  
Vol 44 (10) ◽  
pp. 1853-1862
Author(s):  
A. GORLITZ , T. HANSCH and A. HEMMERIC
Keyword(s):  
Optical Lattice ◽  
Spatial Order
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