scholarly journals Elastic Properties of Porous Media Containing Gas Hydrates

2021 ◽  
pp. 82-89
Author(s):  
А.А. Губайдуллин ◽  
О.Ю. Болдырева ◽  
Д.Н. Дудко
Keyword(s):  
Porous Media ◽  
Elastic Properties ◽  
Laboratory Experiments ◽  
State Of The Art ◽  
Simulation Models ◽  
Theoretical Research ◽  
Porous Space ◽  
Wave Velocities ◽  
Hydrate Saturation ◽  
Experimental And Theoretical Studies

Проведен анализ современного состояния экспериментальных и теоретических исследований упругих свойств гидратосодержащих пористых сред. Сделан вывод о том, что во всех экспериментах установлена связь скоростей упругих волн с содержанием гидрата в поровом пространстве, а именно, наблюдается рост скоростей с увеличением гидратонасыщенности. В области теоретических исследований созданы математические модели упругих модулей гидратосодержащих пористых сред, позволяющие качественно и количественно описать результаты лабораторных опытов. The state-of-the-art experimental and theoretical studies of the elastic properties of porous media containing gas hydrate was analyzed. It is concluded that all the experiments identified a relationship between the elastic wave velocities and the hydrate content in the porous space: the velocities increase with higher hydrate saturation. The theoretical research produced simulation models for estimating the modulus of elasticity of hydrate-containing porous media to qualitatively and quantitatively describe the results of laboratory experiments.

scholarly journals Computational Microfluidics for Geosciences

2021 ◽  
Vol 3 ◽  
Author(s):  
Cyprien Soulaine ◽  
Julien Maes ◽  
Sophie Roman
Keyword(s):  
Porous Media ◽  
Reactive Transport ◽  
Laboratory Experiments ◽  
State Of The Art ◽  
Coupled Processes ◽  
High Resolution Imaging ◽  
Future Trends ◽  
Pore Scale ◽  
Resolution Imaging ◽  
Fundamental Equations

Computational microfluidics for geosciences is the third leg of the scientific strategy that includes microfluidic experiments and high-resolution imaging for deciphering coupled processes in geological porous media. This modeling approach solves the fundamental equations of continuum mechanics in the exact geometry of porous materials. Computational microfluidics intends to complement and augment laboratory experiments. Although the field is still in its infancy, the recent progress in modeling multiphase flow and reactive transport at the pore-scale has shed new light on the coupled mechanisms occurring in geological porous media already. In this paper, we review the state-of-the-art computational microfluidics for geosciences, the open challenges, and the future trends.

Experimental and Theoretical Studies of Flocculated Asphaltene Deposition From Oil in Porous Media

2010 ◽  
Author(s):  
Ali Rezaian ◽  
Amin Kordestany ◽  
Mohammad Jamialahmadi ◽  
Jamshid Moghadasi ◽  
Mohammad Yousefi Khoshdaregi ◽  
...  
Keyword(s):  
Porous Media ◽  
Theoretical Studies ◽  
Asphaltene Deposition ◽  
Experimental And Theoretical Studies

scholarly journals Wettability-dependent Wave Velocities and Attenuation in Granular Porous Media

2021 ◽  
Author(s):  
Jimmy Xuekai Li ◽  
Reza Rezaee ◽  
Tobias M. Müller ◽  
Mahyar Madadi ◽  
Rupeng Ma ◽  
...  
Keyword(s):  
Porous Media ◽  
Wave Velocities ◽  
Granular Porous Media

Laboratory Experiments of Mass Transfer in the London Clay

1988 ◽  
Vol 127 ◽  
Author(s):  
P. J. Bourke ◽  
D. Gilling ◽  
N. L. Jefferies ◽  
D. A. Lever ◽  
T. R. Lineham
Keyword(s):  
Mass Transfer ◽  
Porous Media ◽  
Radioactive Waste ◽  
Mass Transport ◽  
Mathematical Models ◽  
Laboratory Experiments ◽  
Naturally Occurring ◽  
Diffusion And Convection ◽  
Waste Repository ◽  
London Clay

ABSTRACTAqueous phase mass transfer through the rocks surrounding a radioactive waste repository will take place by diffusion and convection. This paper presents a comprehensive set of measurements of the mass transfer characteristics for a single, naturally occurring, clay. These data have been compared with the results predicted by mathematical models of mass transport in porous media, in order to build confidence in these models.

Effect of Fluids on the Elastic Properties of 3D-Printed Anisotropic Rock Models

2021 ◽  
Vol 62 (5) ◽  
pp. 537-552
Author(s):  
Suresh Dande ◽  
◽  
Robert R. Stewart ◽  
Nikolay Dyaur ◽  
◽  
...  
Keyword(s):  
Wave Propagation ◽  
Elastic Properties ◽  
P Wave ◽  
Engine Oil ◽  
Rock Properties ◽  
Anisotropic Rock ◽  
Wave Velocities ◽  
Inclusion Model ◽  
3D Printed ◽  
Primary Porosity

Laboratory physical models play an important role in understanding rock properties and wave propagation, both theoretically and at the field scale. In some cases, 3D-printing technology can be adopted to construct complex rock models faster, more inexpensively, and with more specific features than previous model-building techniques. In this study, we use 3D-printed rock models to assist in understanding the effects of various fluids (air, water, engine oil, crude oil, and glycerol) on the models’ elastic properties. We first used a 3D-printed, 1-in. cube-shaped layered model. This model was created with a 6% primary porosity and a bulk density of 0.98 g/cc with VTI anisotropy. We next employed a similar cube but with horizontal inclusions embedded in the layered background, which contributed to its total 24% porosity (including primary porosity). For air to liquid saturation, P-velocities increased for all liquids in both models, with the highest increase being with glycerol (57%) and an approximately 45% increase for other fluids in the inclusion model. For the inclusion model (dry and saturated), we observed a greater difference between two orthogonally polarized S-wave velocities (Vs1 and Vs2) than between two P-wave velocities (VP0 and VP90). We attribute this to the S2-wave (polarized normal to both the layering and the plane of horizontal inclusions), which appears more sensitive to horizontal inclusions than the P-wave. For the inclusion model, Thomsen’s P-wave anisotropic parameter (ɛ) decreased from 26% for the air case to 4% for the water-saturated cube and to 1% for glycerol saturation. The small difference between the bulk modulus of the frame and the pore fluid significantly reduces the velocity anisotropy of the medium, making it almost isotropic. We compared our experimental results with theory and found that predictions using Schoenberg’s linear slip theory combined with Gassmann’s anisotropic equation were closer to actual measurements than Hudson’s isotropic calculations. This work provides insights into the usefulness of 3D-printed models to understand elastic rock properties and wave propagation under various fluid saturations.

scholarly journals Using Semantic Technology To Model Persona For Adaptable Agents

2021 ◽  
Author(s):  
Johannes Nguyen ◽  
Thomas Farrenkopf ◽  
Michael Guckert ◽  
Simon T. Powers ◽  
Neil Urquhart
Keyword(s):  
Road Traffic ◽  
State Of The Art ◽  
Software Agents ◽  
Simulation Models ◽  
Agent Model ◽  
Semantic Technology ◽  
Art Research

In state of the art research a growing interest in the application of agent models for the simulation of road traffic can be observed. Software agents are particularly suitable for the representation of travellers and their goal-oriented behaviour. Although numerous applications based on these types of models are already available, the options for modelling and calibration of the agents as goal-oriented individuals are either simplified to aggregated parameters or associated with overly complex and opaque implementation details. This makes it difficult to reuse available simulation models. In this paper, we demonstrate how the combination of persona models together with semantic methods can be applied to achieve a well-structured agent model that allows for improved reusability.

scholarly journals Upscaling of elastic properties in carbonates: A modeling approach based on a multiscale geophysical data set

2020 ◽  
Author(s):  
Jerome Fortin ◽  
Cedric Bailly ◽  
Mathilde Adelinet ◽  
Youri Hamon
Keyword(s):  
Elastic Properties ◽  
Wave Velocity ◽  
Representative Elementary Volume ◽  
P Wave ◽  
Elementary Volume ◽  
Data Set ◽  
Wave Velocities ◽  
P Wave Velocity ◽  
Ultrasonic Measurements ◽  
Seismic Scale

<p>Linking ultrasonic measurements made on samples, with sonic logs and seismic subsurface data, is a key challenge for the understanding of carbonate reservoirs. To deal with this problem, we investigate the elastic properties of dry lacustrine carbonates. At one study site, we perform a seismic refraction survey (100 Hz), as well as sonic (54 kHz) and ultrasonic (250 kHz) measurements directly on outcrop and ultrasonic measurements on samples (500 kHz). By comparing the median of each data set, we show that the P wave velocity decreases from laboratory to seismic scale. Nevertheless, the median of the sonic measurements acquired on outcrop surfaces seems to fit with the seismic data, meaning that sonic acquisition may be representative of seismic scale. To explain the variations due to upscaling, we relate the concept of representative elementary volume with the wavelength of each scale of study. Indeed, with upscaling, the wavelength varies from millimetric to pluri-metric. This change of scale allows us to conclude that the behavior of P wave velocity is due to different geological features (matrix porosity, cracks, and fractures) related to the different wavelengths used. Based on effective medium theory, we quantify the pore aspect ratio at sample scale and the crack/fracture density at outcrop and seismic scales using a multiscale representative elementary volume concept. Results show that the matrix porosity that controls the ultrasonic P wave velocities is progressively lost with upscaling, implying that crack and fracture porosity impacts sonic and seismic P wave velocities, a result of paramount importance for seismic interpretation based on deterministic approaches.</p><p>Bailly, C., Fortin, J., Adelinet, M., & Hamon, Y. (2019). Upscaling of elastic properties in carbonates: A modeling approach based on a multiscale geophysical data set. Journal of Geophysical Research: Solid Earth, 124. https://doi.org/10.1029/2019JB018391</p>

scholarly journals Experimental and theoretical memory diffusion of water in sand

2006 ◽  
Vol 10 (1) ◽  
pp. 93-100 ◽  
Author(s):  
G. Iaffaldano ◽  
M. Caputo ◽  
S. Martino
Keyword(s):  
Porous Media ◽  
Laboratory Experiments ◽  
Solid Particles ◽  
Memory Model ◽  
Flux Rate ◽  
Permeability Changes ◽  
Xixth Century ◽  
Diffusion In Porous Media ◽  
Basic Equations ◽  
Fluid Diffusion

Abstract. The basic equations used to study the fluid diffusion in porous media have been set by Fick and Darcy in the mid of the XIXth century but some data on the flow of fluids in rocks exhibit properties which may not be interpreted with the classical theory of propagation of pressure and fluids in porous media (Bell and Nur, 1978; Roeloffs, 1988). Concerning the fluids and the flow, some fluids carry solid particles which may obstruct some of the pores diminishing their size or even closing them, some others may chemically and physically react with the medium enlarging the pores; so permeability changes during time and the flow occurs as if the medium had a memory. In this paper we show with experimental data that the permeability of sand layers may decrease due to rearrangement of the grains and consequent compaction, as already shown qualitatively by Elias and Hajash (1992). We also provide a memory model for diffusion of fluids in porous media which fits well the flux rate observed in five laboratory experiments of diffusion of water in sand. Finally we show that the flux rate variations observed during the experiments are compatible with the compaction of sand, due to the amount of fluid which went through the grains locally, and therefore with the reduction of porosity.

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