Search results for "Pore space"

showing 8 items of 8 documents

Approximation of Pore Space with Ellipsoids: A Comparison of a Geometrical Method with a Statistical one

2018

We work with tomographic images of pore space in soil. The images have large dimensions and so in order to speed-up biological simulations (as drainage or diffusion process in soil), we want to describe the pore space with a number of geometrical primitives significantly smaller than the number of voxels in pore space. In this paper, we use the curve skeleton of a volume to segment it into some regions. We describe the method to compute the curve skeleton and to segment it with a simple segment approximation. We approximate each obtained region with an ellipsoid. The set of final ellipsoids represents the geometry of pore space and will be used in future simulations. We compare this method …

EllipsoidsGeometry02 engineering and technologyImage segmentation010502 geochemistry & geophysicscomputer.software_genreCurve skeleton01 natural sciencesEllipsoidPhysics::GeophysicsSet (abstract data type)SegmentationDiffusion processVoxelSimple (abstract algebra)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSegmentationCluster analysisPore space approximationcomputer0105 earth and related environmental sciencesMathematics2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
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Review of the relationship between aggregates geology and Los Angeles and micro-Deval tests

2021

Rock aggregates constitute the enormous volume of inert construction material used around the globe. The petrologic description as igneous, sedimentary, and metamorphic types establishes the intrinsic formation pattern of the parent rock. The engineering properties of these rocks vary due to the differences in the transformation process (e.g. hydrothermal deposits) and weathering effect. The two most common mechanical tests used to investigate the performance of aggregates are the Los Angeles (LA) and micro-Deval (MD) tests. This study reviewed the geological parameters (including mineralogy, grain and crystal size, grain shape, and porosity) and the relationship to Los Angeles and micro-De…

Grain and crystal sizeMetamorphic rock0211 other engineering and technologiesMineralogyWeathering02 engineering and technology010502 geochemistry & geophysicsFeldspar01 natural sciences:Teknologi: 500 [VDP]Pore spaceParent rockGrain shapeQuartzLithification021101 geological & geomatics engineering0105 earth and related environmental sciencesMineralsGeologyGeotechnical Engineering and Engineering GeologyGrain sizeVDP::Teknologi: 500visual_artvisual_art.visual_art_mediumSedimentary rockLos Angeles testMicro-Deval testGeology
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Imaging pore space in tight gas sandstone reservoir: insights from broad ion beam cross-sectioning

2010

Monetization of tight gas reservoirs, which contain significant gas reserves world-wide, represents a challenge for the entire oil and gas industry. The development of new technologies to enhance tight gas reservoir productivity is strongly dependent on an improved understanding of the rock properties and especially the pore framework. Numerous methods are now available to characterize sandstone cores. However, the pore space characterization at pore scale remains difficult due to the fine pore size and delicate sample preparation, and has thus been mostly indirectly inferred until now. Here we propose a new method of ultra high-resolution petrography combining high resolution SEM and argon…

Pore sizePhysicsArgonIon beamPhysicsQC1-999Resolution (electron density)chemistry.chemical_elementMineralogyCharacterisation of pore space in soilCharacterization (materials science)PetrographychemistryTight gasEPJ Web of Conferences
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Approximation of pore space with ellipsoids: a comparison of a geometrical method with a statistical one.

2018

International audience; We work with tomographic images of pore space in soil. The images have large dimensions and so in order to speed-up biological simulations (as drainage or diffusion process in soil), we want to describe the pore space with a number of geometrical primitives significantly smaller than the number of voxels in pore space. In this paper, we use the curve skeleton of a volume to segment it into some regions. We describe the method to compute the curve skeleton and to segment it with a simple segment approximation. We approximate each obtained region with an ellipsoid. The set of final ellipsoids represents the geometry of pore space and will be used in future simulations.…

curve skeletonsegmentationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO] Computer Science [cs][SPI.MAT] Engineering Sciences [physics]/Materials[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]GeneralLiterature_MISCELLANEOUSPhysics::Geophysics[SPI.MAT]Engineering Sciences [physics]/Materialsellipsoids[INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG][INFO]Computer Science [cs]Pore space approximationComputingMethodologies_COMPUTERGRAPHICS
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Exact and approximate calculations for the conductivity of sandstones

1999

We analyze a three-dimensional pore space reconstruction of Fontainebleau sandstone and calculate from it the eective conductivity using local porosity theory. We compare this result with an exact calculation of the eective conductivity that solves directly the disordered Laplace equation. The prediction of local porosity theory is in good quantitative agreement with the exact result. c 1999 Elsevier Science B.V. All rights reserved.

Statistics and ProbabilityLaplace's equationMathematical analysisCharacterisation of pore space in soilConductivityCondensed Matter PhysicsPorous mediumPorosityPhysics::GeophysicsMathematicsPhysica A: Statistical Mechanics and its Applications
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Microstructural sensitivity of local porosity distributions

1992

The recently introduced concept of local porosity distributions for the geometric characterization of arbitrary porous media is scrutinized using computer generated pore space images. The paper presents the first direct determination of local porosity distributions from digital images. Pore space images with identical two point correlation functions are employed to analyse the geometrical sensitivity of the local porosity concept. The main finding is that local distributions can be used to discriminate between images which are indistinguishable using standard correlation functions. We also discuss the question of length scales associated with the local porosity concept.

Statistics and ProbabilityDigital imageGeometryCharacterisation of pore space in soilSensitivity (control systems)Condensed Matter PhysicsPorosityPorous mediumPhysics::GeophysicsCharacterization (materials science)MathematicsPoint correlationPhysica A: Statistical Mechanics and its Applications
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Preliminary 1H NMR study on archaeological waterlogged wood.

2005

Magnetic Resonance Relaxation (MRR) and Magnetic Resonance Imaging (MRI) are powerful tools to obtain detailed information on the pore space structure that one is unlikely to obtain in other ways. These techniques are particularly suitable for Cultural Heritage materials, because they use water 1H nuclei as a probe. Interaction with water is one of the main causes of deterioration of materials. Porous structure in wood, for example, favours the penetration of water, which can carry polluting substances and promote mould growth. A particular case is waterlogged wood from underwater discoveries and moist sites; in fact, these finds are very fragile because of chemical, physical and biological…

Nuclear magnetic loggingMagnetic Resonance SpectroscopyEcologyChemistrytechnology industry and agricultureWaterCharacterisation of pore space in soilMagnetic Resonance ImagingWoodAnalytical ChemistryNuclear magnetic resonanceMining engineeringArchaeologyT2 distributionUnderwaterPorosityConfined waterPorosityGeneral Environmental ScienceAnnali di chimica
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Nitrous oxide fluxes from permafrost regions

2020

This dataset is a synthesis of published nitrous oxide (N2O) fluxes from permafrost-affected soils in Arctic, Antarctic, and Alpine permafrost regions. The data includes mean N2O flux rates measured under field (in situ) conditions and in intact plant-soil systems (mesocosms) under near-field conditions. The dataset further includes explanatory environmental parameters such as meteorological data, soil physical-chemical properties, as well as site and experimental information. Data has been synthesized from published studies (see 'Further details'), and in some cases the authors of published studies have been contacted for additional site-level information. The dataset includes studies publ…

Temperature airNumber of pointsHemeroby/disturbanceannual meanNumber of measurement seasonsTemperature soilDensityArea localityPrecipitationgravimetricmeanNitrateTime in minutesAnalytical methodType of studyReference of dataTemperature air annual meanArea/localitypH soilCarbon Nitrogen ratioYear of observationWater holding capacityOriginal unitSample code/labelReplicatesNitrous oxidepHPermafrost extentThaw depth of active layer meanTemperatureMonthSample code labelZoneWater filled pore space calculatedExperimental treatmentCountryPrecipitation annual meanOrganic carbon soilEarth System ResearchSoil water content gravimetricType of chamberAmmoniumPresence/absenceNitrogenairvolumetricLocationactive layerType of disturbanceSiteVegetation typeWater filled pore spaceSoil water content volumetricSoil water contentin mass nitrous oxidesoilThaw depth of active layercalculatedbulkmaximumLONGITUDEOrganic carbonEcosystemPublication of dataPresence absenceSoil organic matterEvent labelThaw depth of active layer maximumNumber of measurementsHemeroby disturbanceNitrous oxide flux in mass nitrous oxideCarbon/Nitrogen ratiofluxOriginal valueLATITUDEDayNitrogen soilSoil moistureDensity active layer bulk
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