Spatial-distribution dynamics of moisture, temperature, and dielectric characteristics in capillary-porous media

1994 ◽  
Vol 37 (11) ◽  
pp. 1018-1023
Author(s):  
V. V. Zagoskin ◽  
S. G. Kataev ◽  
G. I. Tyul'kov ◽  
V. N. Chernyshov
Keyword(s):  
Porous Media ◽  
Spatial Distribution ◽  
Distribution Dynamics ◽  
Dielectric Characteristics

Club convergence and spatial distribution dynamics of carbon intensity in China’s construction industry

2018 ◽  
Vol 94 (2) ◽  
pp. 519-536 ◽  
Author(s):  
Qiang Du ◽  
Min Wu ◽  
Yadan Xu ◽  
Xinran Lu ◽  
Libiao Bai ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Construction Industry ◽  
Carbon Intensity ◽  
Club Convergence ◽  
Distribution Dynamics

scholarly journals Seroprevalence and spatial distribution dynamics of Yersinia pestis antibodies in dogs and cats from plague foci in the State of Ceará, Northeastern Brazil

2017 ◽  
Vol 50 (6) ◽  
pp. 769-776 ◽  
Author(s):  
Larissa Leão Ferrer de Sousa ◽  
Carlos Henrique Morais de Alencar ◽  
Alzira Maria Paiva de Almeida ◽  
Luciano Pamplona de Góes Cavalcanti
Keyword(s):  
Spatial Distribution ◽  
Yersinia Pestis ◽  
The State ◽  
Northeastern Brazil ◽  
Distribution Dynamics

scholarly journals A Parallel Stochastic Framework for Reservoir Characterization and History Matching

2011 ◽  
Vol 2011 ◽  
pp. 1-19 ◽  
Author(s):  
Sunil G. Thomas ◽  
Hector M. Klie ◽  
Adolfo A. Rodriguez ◽  
Mary F. Wheeler
Keyword(s):  
Porous Media ◽  
Spatial Distribution ◽  
Multiphase Flow ◽  
History Matching ◽  
Reservoir Characterization ◽  
Well Log ◽  
Species Transport ◽  
Medium Permeability ◽  
Stochastic Framework ◽  
Sensor Information

The spatial distribution of parameters that characterize the subsurface is never known to any reasonable level of accuracy required to solve the governing PDEs of multiphase flow or species transport through porous media. This paper presents a numerically cheap, yet efficient, accurate and parallel framework to estimate reservoir parameters, for example, medium permeability, using sensor information from measurements of the solution variables such as phase pressures, phase concentrations, fluxes, and seismic and well log data. Numerical results are presented to demonstrate the method.

CHARACTERIZATION OF POROUS MEDIA WITH GEOMETRICAL MULTIFRACTALS

Fractals ◽  
1993 ◽  
Vol 01 (04) ◽  
pp. 894-903 ◽  
Author(s):  
ANTOINE SAUCIER ◽  
JIRI MULLER
Keyword(s):  
Porous Medium ◽  
Porous Media ◽  
Spatial Distribution ◽  
Multifractal Spectrum ◽  
Spatial Variations ◽  
Local Porosity

In a porous medium the local porosity often exhibits spatial variations. These variations can be characterized by a multifractal spectrum, as long as suitable scaling characteristics are present. We derive some of the properties of such geometrical multifractals, and discuss how the spatial distribution of a set is related to its multifractal spectrum.

scholarly journals Simulation of the Spatial Distribution of Hydraulic Conductivity in Porous Media through Different Methods

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Zengguang Xu ◽  
Xue Wang ◽  
Junrui Chai ◽  
Yuan Qin ◽  
Yanlong Li
Keyword(s):  
Grain Size ◽  
Porous Media ◽  
Spatial Distribution ◽  
Hydraulic Conductivity ◽  
Pumping Test ◽  
Wide Area ◽  
Test Results ◽  
Seepage Field ◽  
Water Conservancy ◽  
Geological Research

Seepage problems exist in water conservancy projects, groundwater research, and geological research, and hydraulic conductivity is an important factor that affects the seepage field. This study investigates the heterogeneity of hydraulic conductivity. Kriging methods are used to simulate the spatial distribution of hydraulic conductivity, and the application of resistivity and grain size is used to obtain hydraulic conductivity. The results agree with the experimental pumping test results, which prove that the distribution of hydraulic conductivity can be obtained economically and efficiently and in a complex and wide area.

scholarly journals Localization in Flow of Non-Newtonian Fluids Through Disordered Porous Media

2021 ◽  
Vol 9 ◽  
Author(s):  
H. J. Seybold ◽  
U. Eberhard ◽  
E. Secchi ◽  
R. L. C. Cisne ◽  
J. Jiménez-Martínez ◽  
...  
Keyword(s):  
Porous Media ◽  
Spatial Distribution ◽  
Pore Space ◽  
Pore Geometry ◽  
Flow Conditions ◽  
Flow Localization ◽  
Chemical Reactors ◽  
Nonlinear Rheology ◽  
Constitutive Properties ◽  
Disordered Porous Media

We combine results of high-resolution microfluidic experiments with extensive numerical simulations to show how the flow patterns inside a “swiss-cheese” type of pore geometry can be systematically controlled through the intrinsic rheological properties of the fluid. Precisely, our analysis reveals that the velocity field in the interstitial pore space tends to display enhanced channeling under certain flow conditions. This observed flow “localization”, quantified by the spatial distribution of kinetic energy, can then be explained in terms of the strong interplay between the disordered geometry of the pore space and the nonlinear rheology of the fluid. Our results disclose the possibility that the constitutive properties of the fluid can enhance the performance of chemical reactors and chromatographic devices through control of the channeling patterns inside disordered porous media.

scholarly journals Phytoplankton ecology in the Bay of Quinte, Lake Ontario: Spatial distribution, dynamics and heterogeneity

2018 ◽  
Vol 21 (2) ◽  
pp. 213-226 ◽  
Author(s):  
M. Munawar ◽  
M. Fitzpatrick ◽  
H. Niblock ◽  
H. Kling ◽  
J. Lorimer ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Lake Ontario ◽  
Distribution Dynamics ◽  
Phytoplankton Ecology

Fluorescence macrophotography as a tool to visualise and quantify spatial distribution of deposited colloid tracers in porous media

2007 ◽  
Vol 306 (1-3) ◽  
pp. 118-125 ◽  
Author(s):  
Peter Klauth ◽  
Reimar Bauer ◽  
Carla Ralfs ◽  
Petr Ustohal ◽  
Jan Vanderborght ◽  
...  
Keyword(s):  
Porous Media ◽  
Spatial Distribution
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