% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Herrmann:9061,
author = {Herrmann, K. H. and Pohlmeier, A. and Gembris, D. and
Vereecken, H.},
title = {{T}hree-dimensional imaging of pore water diffusion and
motion in porous media by nuclear magnetic resonance
imaging},
journal = {Journal of hydrology},
volume = {267},
issn = {0022-1694},
address = {Amsterdam [u.a.]},
publisher = {Elsevier},
reportid = {PreJuSER-9061},
pages = {244 - 257},
year = {2002},
note = {Record converted from VDB: 12.11.2012},
abstract = {We report on the use of a pulsed gradient spin-echo imaging
sequence for the three-dimensional (3D) imaging of water
transport properties in two porous media: 2 mm glass-beads
and 0.15 turn quartz-sand mixed with 2 turn glass-beads. In
contrast to tracer methods, which monitor the tracer motion
by its effect on the signal relaxation of H-1, this sequence
measures the echo signal intensity I-0 without and I with
applied diffusion gradient, respectively. For the wide-pore
glass-bead system, the intensity loss is controlled by
nearly free self-diffusion in the pores. A mean apparent
diffusion coefficient is calculated from the ratio ln(I-0/I)
as <D-loc> = 1.9 x 10(-9) m(2) s(-1), which is slightly
lower than that of free water (D = 2.3 x 10(-9) m(2) s(-1)).
Increasing the mean pore flow velocity from 0 to 0.14 mm
s(-1) results in a linear increase of <D-loc> to 2.3 x
10(-9) m(2) s(-1), caused by mechanical dispersion. The
spatial distribution is of the log-normal type, where the
width increases with increasing pore velocity. Correlation
lengths are also calculated.For the fine porous medium,
frequent contacts of the water molecules with the pore
boundaries lead to a significant decrease of I-0 by
increased T-2 relaxation. The resulting ratio of the signal
intensities ln(I-0/I) is then smaller than expected for pure
diffusion, which is caused by the restricted diffusion in
the fine pore system. The spatial distribution (normal) is
broader than for the glass-bead system and the mean local
apparent diffusion coefficient is calculated as 1 x 10(-9)
m(2) s(-1), a dependence on the pore flow velocity could not
be detected.For the glass-bead system, the 3D image clearly
shows regions of increased dispersivity $(50\%$ greater than
the D-loc), caused by packing errors, leading to
preferential flow. This macroscopic effect on the column
scale is quantified by a numerical simulation of tracer
transport, based on the 3D diffusion coefficient field,
assuming a linear relation to local velocities. From this
simulation, the effective dispersion coefficient is obtained
for the column scale (D-eff = 130 x 10(-9) m(2) s(-1)),
which is comparable to that obtained from classical
break-through curves with tracer substances. (C) 2002
Published by Elsevier Science B.V.},
keywords = {J (WoSType)},
cin = {IME / ICG-IV},
ddc = {690},
cid = {I:(DE-Juel1)VDB54 / I:(DE-Juel1)VDB50},
pnm = {Biotechnologie},
pid = {G:(DE-Juel1)FUEK256},
shelfmark = {Engineering, Civil / Geosciences, Multidisciplinary / Water
Resources},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000178504900010},
doi = {10.1016/S0022-1694(02)00154-3},
url = {https://juser.fz-juelich.de/record/9061},
}