Silurian Pinnacle Reef Diagenesis-Northern Michigan: Effects of Evaporites on Pore Space Distribution

1980 ◽  
pp. 32-42 ◽  
Author(s):  
T.J. Petta
Keyword(s):  
Pore Space ◽  
Space Distribution ◽  
Northern Michigan

Modelling the impact of pore space distribution on carbon turnover

2007 ◽  
Vol 208 (2-4) ◽  
pp. 295-306 ◽  
Author(s):  
K. Kuka ◽  
U. Franko ◽  
J. Rühlmann
Keyword(s):  
Pore Space ◽  
Space Distribution ◽  
Carbon Turnover ◽  
The Impact

Diagenetic patterns and pore space distribution along a platform to outer-shelf transect (Urgonian limestone, Barremian–Aptian, SE France)

2014 ◽  
Vol 306 ◽  
pp. 1-23 ◽  
Author(s):  
Philippe Léonide ◽  
François Fournier ◽  
John J.G. Reijmer ◽  
Hubert Vonhof ◽  
Jean Borgomano ◽  
...  
Keyword(s):  
Pore Space ◽  
Outer Shelf ◽  
Space Distribution ◽  
Se France

Pore-space distribution and transport properties of an andesitic intrusion

2014 ◽  
Vol 400 ◽  
pp. 123-129 ◽  
Author(s):  
Bjørn Jamtveit ◽  
Marcin Krotkiewski ◽  
Maya Kobchenko ◽  
Francois Renard ◽  
Luiza Angheluta
Keyword(s):  
Transport Properties ◽  
Pore Space ◽  
Space Distribution

scholarly journals Estimating Pore Space Hydrate Saturation Using Dissociation Gas Evolution Measurements: In Relevance to Laboratory Testing of Natural or Artificially Synthesised Hydrate-Bearing Soil Specimens

2013 ◽  
Vol 2013 ◽  
pp. 1-20 ◽  
Author(s):  
Anuruddhika G. Jayasinghe ◽  
Jocelyn L. H. Grozic
Keyword(s):  
Pore Space ◽  
Theoretical Models ◽  
Laboratory Method ◽  
Space Distribution ◽  
Estimation Methods ◽  
Reference Laboratory ◽  
Gas Evolution ◽  
Laboratory Measurements ◽  
True Nature ◽  
Hydrate Saturation

Physical properties of gas hydrate-bearing soils are known to be greatly affected by the pore space hydrate saturation. The accuracy of most saturation estimation methods is affected by hydrate growth habit and pore space distribution. We highlight the usefulness of dissociation gas evolution measurement (DGEM) method as a reference laboratory method to calibrate most other methods. The DGEM method is based on the concept of mass balance and properties of volume compatibility between two distinct states of a closed system. The accuracy of the estimation depends on (1) the precision with which the laboratory measurements of temperature, pressure, and volumetric properties are obtained (2) and the ability of theoretical models used in the calculation to closely represent the true nature of the system. We perform an analysis to evaluate the sensitivity of the estimation (1) to various laboratory measurements and (2) to the use of different theoretical models to generate a feel for the appropriateness of various assumptions associated with DGEM. The comprehensive guide to available resources useful in the hydrate saturation estimation also serves as one of the major contributions of the work presented.

The influence of soil microstructure on hydraulic properties of hydrocarbon-contaminated freezing ground

Polar Record ◽  
1999 ◽  
Vol 35 (192) ◽  
pp. 25-32 ◽  
Author(s):  
T.L. White ◽  
P.J. Williams
Keyword(s):  
Hydraulic Properties ◽  
Pore Space ◽  
Surface Forces ◽  
Space Distribution ◽  
Unfrozen Water ◽  
Mineral Surface ◽  
Soil Medium ◽  
Water Ice ◽  
Soil Microstructure ◽  
Porous Soil

AbstractThe significance of the thermodynamic relations of ice and water within the paniculate and porous soil medium has been widely demonstrated in recent decades. The existence of unfrozen water along with ice at temperatures below 0°C, because of capillary and mineral surface forces, is responsible for the specific thermal, mechanical, and hydraulic properties of soils exposed to seasonal or perennial freezing. The introduction of a hydrocarbon contaminant into this dynamic porous medium has significant consequences for the thermodynamics of the unfrozen water–ice interactions. Techniques recently developed have allowed examination of microstructures of soils exposed to freezing. It has been shown that freeze–thaw cycles produce complex changes in particle aggregation and pore space distribution, which in turn affect soil water energy. An examination of the microstructure of a hydrocarbon-contaminated, frostaffected soil revealed differences in morphology from that of similar but uncontaminated samples. These differences are in turn responsible for differences in hydraulic conductivity between uncontaminated and contaminated freezing soils.

Aggregate formation dynamics driven by 3D fluid flow in natural porous media

2020 ◽  
Author(s):  
Thomas Ritschel ◽  
Kai Totsche
Keyword(s):  
Porous Media ◽  
Fluid Flow ◽  
Reactive Transport ◽  
Colloidal Particles ◽  
Pore Space ◽  
Three Dimensional ◽  
Space Distribution ◽  
Aggregate Formation ◽  
Undisturbed Soil ◽  
Pore Networks

<p>Fluid flow and reactive transport in natural porous media take place in a three-dimensional, hierarchically organized network of voids and pores in the size range of sub-micrometers inside small aggregates to several millimeters in, e.g., earthworm burrows or cracks. Thus, fluid flow regimes are manifold with consequences not only for the transport of solutes, but also for the displacement of colloidal particles and organic matter and thus, for their inclusion into soil aggregates. Therefore, we incorporated the simulation of three-dimensional fluid flow in pore networks typical for natural porous media into our recent approach to model soil aggregate formation using DLVO theory and diffusion-limited aggregation to overcome its previous limitation to suspensions at rest. To visualize the model capabilities, we simulated aggregation in pore networks that were either synthetically designed to represent certain structural features such as pore junctions and dead-end pores, or taken directly from X-ray µ-CT measurements of undisturbed soil cores. We explored the development of structural aggregated features that evolve in response to flow, transport and the topology of the soil pore space. The resulting three-dimensional arrangement of compounds and the entire aggregates were classified according to their morphological metrics, e.g. the pore space distribution, and functional properties, e.g. the water retention capacity, that are provided by these structures. By this fusion of complementary modeling approaches, we significantly contribute to the fundamental mechanistic understanding of the complex interplay and feedback of structure, interactions and functions on the scale of (micro-)aggregates.</p>

A one-dimensional self-gravitating stellar gas

1966 ◽  
Vol 25 ◽  
pp. 46-48 ◽  
Author(s):  
M. Lecar
Keyword(s):  
Gravitational Field ◽  
Phase Space ◽  
Motion Picture ◽  
Space Distribution ◽  
Two Dimensional ◽  
One Dimensional ◽  
Phase Space Distribution ◽  
Dimensional Phase Space ◽  
The Mean

“Dynamical mixing”, i.e. relaxation of a stellar phase space distribution through interaction with the mean gravitational field, is numerically investigated for a one-dimensional self-gravitating stellar gas. Qualitative results are presented in the form of a motion picture of the flow of phase points (representing homogeneous slabs of stars) in two-dimensional phase space.

Representation of information in SEM by equal signal lines

1978 ◽  
Vol 36 (1) ◽  
pp. 144-145
Author(s):  
E. Rau ◽  
N. Karelin ◽  
V. Dukov ◽  
M. Kolomeytsev ◽  
S. Gavrikov ◽  
...  
Keyword(s):  
Electronic System ◽  
Space Distribution ◽  
Specimen Surface ◽  
Universal Method ◽  
Base Level ◽  
Signal Value ◽  
Information Signal ◽  
Fixed Base ◽  
Scanning Line ◽  
Amplitude Analyzer

There are different methods and devices for the increase of the videosignal information in SEM. For example, with the help of special pure electronic [1] and opto-electronic [2] systems equipotential areas on the specimen surface in SEM were obtained. This report generalizes quantitative universal method for space distribution representation of research specimen parameter by contour equal signal lines. The method is based on principle of comparison of information signal value with the fixed levels.Transformation image system for obtaining equal signal lines maps was developed in two versions:1)In pure electronic system [3] it is necessary to compare signal U (see Fig.1-a), which gives potential distribution on specimen surface along each scanning line with fixed base level signals εifor obtaining quantitative equipotential information on solid state surface. The amplitude analyzer-comparator gives flare sport videopulses at any fixed coordinate and any instant time when initial signal U is equal to one of the base level signals ε.

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.

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