Relevant bibliographies by topics / Pore-scale model

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Pore-scale model'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Pore-scale model"

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Costa, Timothy B., Kenneth Kennedy, and Malgorzata Peszynska. "Hybrid three-scale model for evolving pore-scale geometries." Computational Geosciences 22, no. 3 (2018): 925–50. http://dx.doi.org/10.1007/s10596-018-9733-9.

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Yang, Yongfei, Ke Wang, Lei Zhang, Hai Sun, Kai Zhang, and Jingsheng Ma. "Pore-scale simulation of shale oil flow based on pore network model." Fuel 251 (September 2019): 683–92. http://dx.doi.org/10.1016/j.fuel.2019.03.083.

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Kumar, Munish, Andrew Fogden, Tim Senden, and Mark Knackstedt. "Investigation of Pore-Scale Mixed Wettability." SPE Journal 17, no. 01 (2011): 20–30. http://dx.doi.org/10.2118/129974-pa.

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Summary The efficiency of secondary and tertiary-recovery processes can be improved by properly taking into account the reservoir's true wettability state. Most reservoirs are assumed to be mixed-wet, based on core-scale indices such as Amott-Harvey and USBM. Oil/brine/ mineral contact-angle measurements on smooth substrates offer some molecular-scale input and estimates for network modeling. However, direct experimental techniques to characterize wettability and validate the mixed-wet model at the pore scale in real or model rocks remain elusive. One promising avenue is the use of microtomography (µ-CT) to map the pore-scale distribution of multiple phases in miniplugs. A second, complementary approach involves the study of model rocks based on bead packs to probe the surface chemistry of the minerals exposed to crude oil and brine in pore confinement. Integrating the two approaches described in the current study provides a promising means of explaining the observed multiphase-fluid occupancy in pores by combining the detailed knowledge of the 3D pore structure and information on the surface chemistry of its walls.
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Liu, Jianjun, Rui Song, and Mengmeng Cui. "Numerical Simulation on Hydromechanical Coupling in Porous Media Adopting Three-Dimensional Pore-Scale Model." Scientific World Journal 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/140206.

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A novel approach of simulating hydromechanical coupling in pore-scale models of porous media is presented in this paper. Parameters of the sandstone samples, such as the stress-strain curve, Poisson’s ratio, and permeability under different pore pressure and confining pressure, are tested in laboratory scale. The micro-CT scanner is employed to scan the samples for three-dimensional images, as input to construct the model. Accordingly, four physical models possessing the same pore and rock matrix characteristics as the natural sandstones are developed. Based on the micro-CT images, the three-dimensional finite element models of both rock matrix and pore space are established by MIMICS and ICEM software platform. Navier-Stokes equation and elastic constitutive equation are used as the mathematical model for simulation. A hydromechanical coupling analysis in pore-scale finite element model of porous media is simulated by ANSYS and CFX software. Hereby, permeability of sandstone samples under different pore pressure and confining pressure has been predicted. The simulation results agree well with the benchmark data. Through reproducing its stress state underground, the prediction accuracy of the porous rock permeability in pore-scale simulation is promoted. Consequently, the effects of pore pressure and confining pressure on permeability are revealed from the microscopic view.
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Daly, K. R., and T. Roose. "Determination of macro-scale soil properties from pore-scale structures: model derivation." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 474, no. 2209 (2018): 20170141. http://dx.doi.org/10.1098/rspa.2017.0141.

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In this paper, we use homogenization to derive a set of macro-scale poro-elastic equations for soils composed of rigid solid particles, air-filled pore space and a poro-elastic mixed phase. We consider the derivation in the limit of large deformation and show that by solving representative problems on the micro-scale we can parametrize the macro-scale equations. To validate the homogenization procedure, we compare the predictions of the homogenized equations with those of the full equations for a range of different geometries and material properties. We show that the results differ by ≲ 2 % for all cases considered. The success of the homogenization scheme means that it can be used to determine the macro-scale poro-elastic properties of soils from the underlying structure. Hence, it will prove a valuable tool in both characterization and optimization.
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Tartakovsky, Alexandre M., Timothy D. Scheibe, and Paul Meakin. "Pore-Scale Model for Reactive Transport and Biomass Growth." Journal of Porous Media 12, no. 5 (2009): 417–34. http://dx.doi.org/10.1615/jpormedia.v12.i5.30.

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Likos, William J. "Pore-Scale Model for Thermal Conductivity of Unsaturated Sand." Geotechnical and Geological Engineering 33, no. 2 (2014): 179–92. http://dx.doi.org/10.1007/s10706-014-9744-9.

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Islahuddin, Muhammad, Chi Feng, Steven Claes, and Hans Janssen. "Validation of pore network model for hygric property calculation." MATEC Web of Conferences 282 (2019): 02024. http://dx.doi.org/10.1051/matecconf/201928202024.

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Hygric properties can be estimated directly from pore structure information, represented by a network of regularly shaped pores, extracted from a pore structure image to conserve the real topology. On this network, pore-scale models of moisture behaviour determine the hygric properties of moisture storage and transport. The reliability of this approach is validated with a sintered-glass filter. Despite its more limited heterogeneity and pore size range relative to typical porous building materials, it provides a good basis for validating crucial pore-scale moisture processes. Measured storage data compare well to the estimated ad- and desorption moisture retention curves as well as to the saturated and capillary moisture content. Furthermore, the simulated whole-range moisture permeability curve agrees acceptably with measured data. The variation in modelling the pore space as a pore network model is also analysed by considering two distinct pore network extraction methods. The measured and simulated moisture contents agree well for the whole capillary range. Moreover, the resulting transport properties are generally accurate for the whole moisture content range. On the other hand, the estimated vapour permeabilities show notable variations between the two pore network models.
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HaghaniGalougahi, MohammadJavad. "Pore-Scale Simulation of Calcite Matrix Acidizing with Hydrochloric Acid." SPE Journal 26, no. 02 (2021): 653–66. http://dx.doi.org/10.2118/205343-pa.

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Summary A continuum hydrodynamic model with immersed solid/fluid interface is developed for simulating calcite dissolution by hydrochloric acid (HCl) at the pore scale, and is most accurate for a mass-transfer-controlled dissolution regime under laminar flow conditions. The model uses averaged Navier-Stokes equations to model momentum transfer in porous media and adopts a theoretically developed mass-transfer formulation with assumptions. The model includes no fitting parameter and is validated using experimental results. The findings of previous research and existing models are briefly discussed and their shortcomings and advantages are elucidated. The present model is used in some pore-scale simulations on hypothetical but realistic cases, investigating the evolution of Darcy-scale permeability. Darcy-scale permeability exhibits totally different functionality of porosity in different dissolution regimes.
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Sweijen, Thomas, S. Majid Hassanizadeh, Bruno Chareyre, and Luwen Zhuang. "Dynamic Pore‐Scale Model of Drainage in Granular Porous Media: The Pore‐Unit Assembly Method." Water Resources Research 54, no. 6 (2018): 4193–213. http://dx.doi.org/10.1029/2017wr021769.

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Dissertations / Theses on the topic "Pore-scale model"

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Soll, Wendy Eileen. "Development of a pore-scale model for simulating two and three phase capillary pressure-saturation relationships." Thesis, Massachusetts Institute of Technology, 1991. http://hdl.handle.net/1721.1/13899.

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Weishaupt, Kilian [Verfasser], and Rainer [Akademischer Betreuer] Helmig. "Model concepts for coupling free flow with porous medium flow at the pore-network scale : from single-phase flow to compositional non-isothermal two-phase flow / Kilian Weishaupt ; Betreuer: Rainer Helmig." Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2020. http://d-nb.info/1215101848/34.

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Pinilla, Velandia Johana Lizeth. "Modélisation et simulation à l' échelle du pore de la récupération assistée des hydrocarbures par injection de polyméres." Thesis, Bordeaux 1, 2012. http://www.theses.fr/2012BOR14667/document.

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Ce travail est motivé par la nécessité de mieux comprendre la technique de récupération du pétrole par injection de polymères à l'échelle du pore. On considère deux fluides immiscibles dans un réseau de microcanaux. A cette échelle, le diamètre des canaux est de l'ordre de quelques dizaines de micromètres tandis que la vitesse est de l'ordre du centimètre par seconde. Cela nous permet d'utiliser les équations de Stokes incompressible pour décrire l'écoulement des fluides. Le modèle Olroyd-B est utilisé pour décrire l'écoulement du fluide viscoélastique. Afin d'effectuer des simulations numériques dans une géométrie complexe comme un réseau de microcanaux, une méthode de pénalisation est utilisée. Pour suivre l'interface entre les deux fluides, la méthode Level-Set est employée. Le modèle pour la dynamique de la ligne triple est basé sur les la loi de Cox. Enfin, on présente des résultats de simulations numériques avec des paramètres physiques réalistes
This work is motivated by the need for better understanding the polymer Enhanced Oil Recovery (EOR) technique at the pore-scale. We consider two phase immiscible fluids in a microchannel network. In microfluidics, the diameter of the channels is of the order of a few tens of micrometers and the flow velocity is of the order of one centimeter per second. The incompressible Stokes equations are used to describe the fluid flow. The Oldroyd-B rheological model is used to capture the viscoelastic behavior. In order to perform numerical simulations in a complex geometry like a microchannel network, a penalization method is implemented. To follow the interface between the two fluids, the Level-Set method is employed. The dynamic contact line model used in this work is based on the Cox law. Finally, we perform simulations with realistic parameters
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Horgue, Pierre. "Modélisation multi-échelle d'un écoulement gaz-liquide dans un lit fixe de particules." Thesis, Toulouse, INPT, 2012. http://www.theses.fr/2012INPT0024/document.

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On s'intéresse dans ce travail à la modélisation d'un écoulement diphasique gaz-liquide co-courant descendant dans les réacteurs à lit fixe de particules, procédé largement utilisé dans le domaine industriel. En raison de la complexité de l'écoulement, induite par les nombreuses configurations multiphasiques pouvant coexister au sein du lit, les modèles développés directement à l'échelle du réacteur sont généralement issus d'approches semi-empiriques, en considérant l'écoulement homogène. Or, il a été observé que des hétérogénéités locales, géométrique et hydrodynamique, telle qu'une mal-distribution de la phase liquide, entrainaient une diminution du taux de réaction et conduisait les modèles existants à surestimer la productivité d'un réacteur. La nécessité de prendre en compte les phénomènes microscopiques dans un modèle macroscopique à l'échelle du réacteur rend l'utilisation d'approches multi-échelles indispensable. L'écoulement étant cependant d'une nature complexe, le changement d'échelle ne peut se faire de façon directe et nécessite donc la mise en place d'outils de modélisation adaptés à une échelle intermédiaire. Dans une première étape, la méthode de simulation numérique directe ``Volume-Of-Fluid'' (VOF) est validée dans le cas d'un film ruisselant dans un tube capillaire. Cette méthode est ensuite utilisée, à l'échelle microscopique, afin de proposer et de valider des relations de fermeture pour un modèle de type ``réseau de pores'' pouvant être utilisé à une échelle intermédiaire, celle du Volume Elémentaire Représentatif. Ce changement d'échelle est tout d'abord effectué dans le cas d'un lit fixe en deux dimensions, c'est-à-dire un empilement de cylindres entre deux plaques. Cette configuration permet la mise en place d'un dispositif expérimental qui, couplé à des simulations VOF 2D à plus grande échelle, valide l'approche de type "réseau de pores" adoptée. Le modèle réseau est ensuite étendu au cas d'un lit fixe réel, c'est-à-dire en trois dimensions, dont la géométrie est obtenue par micro-tomographie. Les lois de comportement locales sont redéfinies à l'aide de simulations numériques directes à l'échelle microscopique. Les résultats provenant de simulations de type « réseaux de pore » sont ensuite confrontés, dans le cas d'une répartition homogène des phases, aux modèles 1D habituellement utilisés pour les écoulements diphasiques en lit fixe. Enfin, une campagne expérimentale est menée afin d'observer, par imagerie scanner, l'étalement d'un jet de liquide sur un empilement de grains. Une comparaison qualitative est ensuite effectuée entre les observations expérimentales et les simulations numériques réseaux dans le cas spécifique de l'étalement d'un jet de liquide
We study in this work the modelling of two-phase cocurrent downflows in fixed bed reactors, a process widely used in industry. Due to the flow complexity, i.e., the presence of different interface configurations and, therefore, different phase interactions, most models have been developed using empirical approaches, with the assumption of a homogeneous flow in the reactor. However, several studies showed that local heterogeneities, geometric and hydrodynamic, such as the liquid distribution, could have a great influence on the flow at the reactor-scale and, therefore, on the reactor performance. Consider the microscopic phenomena in a macroscopic model require the use of multi-scale approaches. However, due to the flow complexity, the upscaling cannot be done directly and requires the development of modelling tools suitable for an intermediate scale. In a first step, the direct numerical method \ Volume-Of-Fluid" (VOF) is validated in the case of a two-phase flow in a capillary tube with the presence of a thin film. Then, this method is used, at a microscopic level to propose and validate closure laws for a pore-network model which will be used to simulate the flow at the intermediate scale. This upscaling approach is first tested in a two-dimensional case,i.e., an array of cylinders between two walls. This configuration allows the set up of an experimental approach, coupled with 2D VOF simulations at the intermediate scale, in order to validate the pore-network approach. The pore-network approach is then extended to a real fixed bed, i.e. in three dimensions, whose geometry is obtained by micro-tomography. Local laws of the pore-network model are redefined using direct numerical simulations at a microscopic scale. Pore-network simulations are then compared, for a homogenous phase distribution, with 1D models typically used for two-phase flow in fixed beds. Finally, an experimental campaign was set up to observe, by imaging scanner, the spreading of a liquid jet on a fixed bed pilot. A qualitative comparison is then performed between experimental observations and pore-network simulations in the specific case of the spreading of a liquid jet
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Yue, Rong. "Modeling pore structures and airflow in grain beds using discrete element method and pore-scale models." KONA Powder and Particle Journal, 2016. http://hdl.handle.net/1993/31985.

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The main objective of this research was to model the airflow paths through grain bulks and predict the resistance to airflow. The discrete element method (DEM) was used to simulate the pore structures of grain bulks. A commercial software package PFC3D (Particle Flow Code in Three Dimension) was used to develop the DEM model. In the model, soybeans kernels were considered as spherical particles. Based on simulated positions (coordinates) and radii of individual particles, the characteristics of airflow paths (path width, tortuosity, turning angles, etc.) in the vertical and horizontal directions of the grain bed were calculated and compared. The discrete element method was also used to simulate particle packing in porous beds subjected to vertical vibration. Based on the simulated spatial arrangement of particles, the effect of vibration on critical pore structure parameters (porosity, tortuosity, pore throat width) was quantified. A pore-scale flow branching model was developed to predict the resistance to airflow through the grain bulks. Delaunay tessellation was also used to develop a pore network model to predict airflow resistance. Experiments were conducted to measure the resistance to airflow to validate the models. It was found that the discrete element models developed using PFC3D was capable of predicting the pore structures of grain bulks, which provided a base for geometrically constructing airflow paths through the pore space between particles. The tortuosity for the widest and narrowest airflow paths predicted based on the discrete element model was in good agreement with the experimental data reported in the literature. Both pore-scale models (branched path and network) proposed in this study for predicting airflow resistance (pressure drop) through grain bulks appeared promising. The predicted pressure drop by the branched path model was slightly (<12%) lower than the experimental value, but almost identical to that recommended by ASABE Standard. The predicted pressure drop by the network model was also lower than the measured value (2.20 vs. 2.44 Pa), but very close to that recommended by ASABE Standard (2.20 vs. 2.28Pa).
February 2017
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Wu, Haiyi. "Multiphysics Transport in Heterogeneous Media: from Pore-Scale Modeling to Deep Learning." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/98520.

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Transport phenomena in heterogeneous media play a crucial role in numerous engineering applications such as hydrocarbon recovery from shales and material processing. Understanding and predicting these phenomena is critical for the success of these applications. In this dissertation, nanoscale transport phenomena in porous media are studied through physics-based simulations, and the effective solution of forward and inverse transport phenomena problems in heterogeneous media is tackled using data-driven, deep learning approaches. For nanoscale transport in porous media, the storage and recovery of gas from ultra-tight shale formations are investigated at the single-pore scale using molecular dynamics simulations. In the single-component gas recovery, a super-diffusive scaling law was found for the gas production due to the strong gas adsorption-desorption effects. For binary gas (methane/ethane) mixtures, surface adsorption contributes greatly to the storage of both gas in nanopores, with ethane enriched compared to methane. Ethane is produced from nanopores as effectively as the lighter methane despite its slower self-diffusion than the methane, and this phenomenon is traced to the strong couplings between the transport of the two species in the nanopore. The dying of solvent-loaded nanoporous filtration cakes by a purge gas flowing through them is next studied. The novelty and challenge of this problem lie in the fact that the drainage and evaporation can occur simultaneously. Using pore-network modeling, three distinct drying stages are identified. While drainage contributes less and less as drying proceeds through the first two stages, it can still contribute considerably to the net drying rate because of the strong coupling between the drainage and evaporation processes in the filtration cake. For the solution of transport phenomena problems using deep learning, first, convolutional neural networks with various architectures are trained to predict the effective diffusivity of two-dimensional (2D) porous media with complex and realistic structures from their images. Next, the inverse problem of reconstructing the structure of 2D heterogeneous composites featuring high-conductivity, circular fillers from the composites' temperature field is studied. This problem is challenging because of the high dimensionality of the temperature and conductivity fields. A deep-learning model based on convolutional neural networks with a U-shape architecture and the encoding-decoding processes is developed. The trained model can predict the distribution of fillers with good accuracy even when coarse-grained temperature data (less than 1% of the full data) are used as an input. Incorporating the temperature measurements in regions where the deep learning model has low prediction confidence can improve the model's prediction accuracy.
Doctor of Philosophy
Multiphysics transport phenomena inside structures with non-uniform pores or properties are common in engineering applications, e.g., gas recovery from shale reservoirs and drying of porous materials. Research on these transport phenomena can help improve related applications. In this dissertation, multiphysics transport in several types of structures is studied using physics-based simulations and data-driven deep learning models. In physics-based simulations, the multicomponent and multiphase transport phenomena in porous media are solved at the pore scale. The recovery of methane and methane-ethane mixtures from nanopores is studied using simulations to track motions and interactions of methane and ethane molecules inside the nanopores. The strong gas-pore wall interactions lead to significant adsorption of gas near the pore wall and contribute greatly to the gas storage in these pores. Because of strong gas adsorption and couplings between the transport of different gas species, several interesting and practically important observations have been found during the gas recovery process. For example, lighter methane and heavier ethane are recovered at similar rates. Pore-scale modeling are applied to study the drying of nanoporous filtration cakes, during which drainage and evaporation can occur concurrently. The drying is found to proceed in three distinct stages and the drainage-evaporation coupling greatly affects the drying rate. In deep learning modeling, convolutional neural networks are trained to predict the diffusivity of two-dimensional porous media by taking the image of their structures as input. The model can predict the diffusivity of the porous media accurately with computational cost orders of magnitude lower than physics-based simulations. A deep learning model is also developed to reconstruct the structure of fillers inside a two-dimensional matrix from its temperature field. The trained model can predict the structure of fillers accurately using full-scale and coarse-grained temperature input data. The predictions of the deep learning model can be improved by adding additional true temperature data in regions where the model has low prediction confidence.
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Magoto, Elliot N. "Quantifiying The Effectiveness of a Grout Curtain Using a Laboratory-Scale Physical Model." UKnowledge, 2014. http://uknowledge.uky.edu/ce_etds/18.

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In the past decade, the grouting industry has made significant technological advancements in real-time monitoring of flow rate and pressure of pumped grout, stable grout mix design, and with grout curtain concepts dealing with placement and orientation. While these practices have resulted in improved construction practices in the grouting industry, current design guidelines for grout curtains are still predominately based on qualitative measures such as engineering judgment and experience or are based on proprietary methods. This research focused on the development of quantitative guidelines to evaluate the effectiveness of a grout curtain in porous media using piezometric and hydraulic flow data. In this study, a laboratory-scale physical seepage model was developed to aid in the understanding and development methodology to evaluate the effectiveness of a grout curtain. A new performance parameter was developed based on a normalization scheme that utilized the area of the grout curtain and the area of the improved media. The normalization scheme combined with model-based Lugeon values that correspond to pore pressure and flow rate measurements at different soil unit weights and grout curtain spacings, produced a mathematical equation that can be used to quantify the effectiveness of a grout curtain. This study found a relationship that takes into account soil unit weight, grout curtain spacing and a new performance parameter that can be used to help predict the effectiveness of a grout curtain.
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Basirat, Farzad. "Process Models for CO2 Migration and Leakage : Gas Transport, Pore-Scale Displacement and Effects of Impurities." Doctoral thesis, Uppsala universitet, Luft-, vatten och landskapslära, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-315490.

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Geological Carbon Storage (GCS) is considered as one of the key techniques to reduce the rate of atmospheric emissions of CO2 and thereby to contribute to controlling the global warming. A successful application of a GCS project requires the capability of the formation to trap CO2 for a long term. In this context, processes related to CO2 trapping and also possible leakage of CO2 to the near surface environment need to be understood. The overall aim of this thesis is to understand the flow and transport of CO2 through porous media in the context of geological storage of CO2. The entire range of scales, including the pore scale, the laboratory scale, the field experiment scale and the industrial scale of CO2 injection operation are addressed, and some of the key processes investigated by means of experiments and modeling.  First, a numerical model and laboratory experimental setup were developed to investigate the CO2 gas flow, mimicking the system in the near-surface conditions in case a leak from the storage formation should occur. The system specifically addressed the coupled flow and mass transport of gaseous CO2 both in the porous domain as well as the free flow domain above it. The comparison of experiments and modelling results showed a very good agreement indicating that the model developed can be applied to evaluate monitoring and surface detection of potential CO2 leakage. Second, the field scale CO2 injection test carried out in a shallow aquifer in Maguelone, France was analyzed and modeled. The results showed that Monte Carlo simulations accounting for the heterogeneity effects of the permeability field did capture the key observations of the monitoring data, while a homogeneous model could not represent them. Third, a numerical model based on phase-field method was developed and model simulations carried out addressing the effect of wettability on CO2-brine displacement at the pore-scale. The results show that strongly water-wet reservoirs provide a better potential for the dissolution trapping, due to the increase of interface between CO2 and brine with very low contact angles. The results further showed that strong water-wet conditions also imply a strong capillary effect, which is important for residual trapping of CO2. Finally, numerical model development and model simulations were carried out to address the large scale geological storage of CO2 in the presence of impurity gases in the CO2 rich phase. The results showed that impurity gases N2 and CH4 affected the spatial distribution of the gas (the supercritical CO2 rich phase), and a larger volume of reservoir is needed in comparison to the pure CO2 injection scenario. In addition, the solubility trapping significantly increased in the presence of N2 and CH4.
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Sun, Tie Ph D. "Upscaling and multiscale simulation by bridging pore scale and continuum scale models." Thesis, 2012. http://hdl.handle.net/2152/ETD-UT-2012-08-6119.

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Many engineering and scientific applications of flow in porous media are characterized by transport phenomena at multiple spatial scales, including pollutant transport, groundwater remediation, and acid injection to enhance well production. Carbon sequestration in particular is a multiscale problem, because the trapping and leakage mechanisms of CO2 in the subsurface occur from the sub-pore level to the basin scale. Quantitative and predictive pore-scale modeling has long shown to be a valuable tool for studying fluid-rock interactions in porous media. However, due to the size limitation of the pore-scale models (10-4-10-2m), it is impossible to model an entire reservoir at the pore scale. A straightforward multiscale approach would be to upscale macroscopic parameters (e.g. permeability) directly from pore-scale models and then input them into a continuum-scale simulator. However, it has been found that the large-scale models do not predict in many cases. One possible reason for the inaccuracies is oversimplified boundary conditions used in this direct upscaling approach. The hypothesis of this work is that pore-level flow and upscaled macroscopic parameters depends on surrounding flow behavior manifested in the form of boundary conditions. The detailed heterogeneity captured by the pore-scale models may be partially lost if oversimplified boundary conditions are employed in a direct upscaling approach. As a result, extracted macroscopic properties may be inaccurate. Coupling the model to surrounding media (using finite element mortars to ensure continuity between subdomains) would result in more realistic boundary conditions, and can thus improve the accuracy of the upscaled parameters. To test the hypothesis, mortar coupling is employed to couple pore-scale models and also couple pore-scale models to continuum models. Flow field derived from mortar coupling and direct upscaling are compared, preferably against a true solution if one exists. It is found in this dissertation that pore-scale flow and upscaled parameters can be significantly affected by the surrounding media. Therefore, using arbitrary boundary conditions such as constant pressure and no-flow boundaries may yield misleading results. Mortar coupling captures the detailed variation on the interface and imposes realistic boundary conditions, thus estimating more accurate upscaled values and flow fields. An advanced upscaling tool, a Super Permeability Tensor (SPT) is developed that contains pore-scale heterogeneity in greater detail than a conventional permeability tensor. Furthermore, a multiscale simulator is developed taking advantage of mortar coupling to substitute continuum grids directly with pore-scale models where needed. The findings from this dissertation can significantly benefit the understanding of fluid flow in porous media, and, in particular, CO2 storage in geological formations which requires accurate modeling across multiple scales. The fine-scale models are sensitive to the boundary conditions, and the large scale modeling of CO2 transport is sensitive to the CO2 behavior affected by the pore-scale heterogeneity. Using direct upscaling might cause significant errors in both the fine-scale and the large-scale model. The multiscale simulator developed in this dissertation could integrate modeling of CO2 physics at all relevant scales, which span the sub-pore or pore level to the basin scale, into one single simulator with effective and accurate communication between the scales. The multiscale simulator provides realistic boundary conditions for the fine scales, accurate upscaled information to continuum-scale, and allows for the distribution of computational power where needed, thus maintaining high accuracy with relatively low computational cost.
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Petersen, Robert Thomas. "Pore-scale modeling of the impact of surrounding flow behavior on multiphase flow properties." Thesis, 2009. http://hdl.handle.net/2152/ETD-UT-2009-08-283.

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Accurate predictions of macroscopic multiphase flow properties, such as relative permeability and capillary pressure, are necessary for making key decisions in reservoir engineering. These properties are usually measured experimentally, but pore-scale network modeling has become an efficient alternative for understanding fundamental flow behavior and prediction of macroscopic properties. In many cases network modeling gives excellent agreement with experiment by using models physically representative of real media. Void space within a rock sample can be extracted from high resolution images and converted to a topologically equivalent network of pores and throats. Multiphase fluid transport is then modeled by imposing mass conservation at each pore and implementing the Young-Laplace equation in pore throats; the resulting pressure field and phase distributions are used to extract macroscopic properties. Advancements continue to be made in making network modeling predictive, but one limitation is that artificial (e.g. constant pressure gradient) boundary conditions are usually assumed; they do not reflect the local saturations and pressure distributions that are affected by flow and transport in the surrounding media. In this work we demonstrate that flow behavior at the pore scale, and therefore macroscopic properties, is directly affected by the boundary conditions. Pore-scale drainage is modeled here by direct coupling to other pore-scale models so that the boundary conditions reflect flow behavior in the surrounding media. Saturation couples are used as the mathematical tool to ensure continuity of saturations between adjacent models. Network simulations obtained using the accurate, coupled boundary conditions are compared to traditional approach and the resulting macroscopic petrophysical properties are shown to be largely dependent upon the specified boundary conditions. The predictive ability of network simulations is improved using the novel network coupling scheme. Our results give important insight into upscaling as well as approaches for including pore-scale models directly into reservoir simulators.
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Books on the topic "Pore-scale model"

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Zhang, Wenqian. Use of pore-scale network to model three-phase flow in a bedded unsaturated zone. 1995.

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Zhang, Wenqian. Use of pore-scale network to model three-phase flow in a bedded unsaturated zone. 1995.

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Book chapters on the topic "Pore-scale model"

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Zeng, Xianxian, Dong Li, Yun Zhang, and Kin-Man Lam. "Pore-Scale Facial Features Matching Under 3D Morphable Model Constraint." In Communications in Computer and Information Science. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7302-1_3.

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Bernard, D., F. Bodin, A. Goasguen, and J. C. Fechant. "Implementing a Two-Dimensional Pore-Scale Flow Model on Different Parallel Machines." In Computational Methods in Water Resources X. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-010-9204-3_182.

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Zhu, B. J., C. Liu, Y. L. Shi, and D. A. Yuen. "Correlation of Reservoir and Earthquake by Multi Temporal-Spatial Scale Flow Driven Pore-Network Crack Model in Parallel CPU and GPU Platform." In Lecture Notes in Earth System Sciences. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-16405-7_19.

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Zhang, Shiquan, Oleg Iliev, Sebastian Schmidt, and Jochen Zausch. "Comparison of Two Approaches for Treatment of the Interface Conditions in FV Discretization of Pore Scale Models for Li-Ion Batteries." In Finite Volumes for Complex Applications VII-Elliptic, Parabolic and Hyperbolic Problems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05591-6_73.

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"A Pore-Scale Model for Soil Freezing." In Contaminant Hydrology. CRC Press, 2000. http://dx.doi.org/10.1201/9781420026252-14.

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Ferrand, Lin. "A Pore-Scale Model for Soil Freezing." In Contaminant Hydrology. CRC Press, 2000. http://dx.doi.org/10.1201/9781420026252.ch11.

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Al-Gharbi, M. S., and M. J. Blunt. "2D dynamic pore-scale network model of imbibition." In Computational Methods in Water Resources: Volume 1. Elsevier, 2004. http://dx.doi.org/10.1016/s0167-5648(04)80038-8.

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Novák, P., R. Malá, and M. Kouřil. "Influence of scale and rust on steel activation in model concrete pore solution." In Corrosion of Reinforcement in Concrete. Elsevier, 2007. http://dx.doi.org/10.1533/9781845692285.38.

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Kouril, M., R. MalÁ, and P. NovÁK. "Influence of scale and rust on steel activation in model concrete pore solution." In Corrosion of Reinforcement in Concrete. CRC Press, 2006. http://dx.doi.org/10.1201/9781439823910.ch4.

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Parlance, J. Y., and T. S. Steenhuis. "Soil Properties and Water Movement." In Vadose Zone Hydrology. Oxford University Press, 1999. http://dx.doi.org/10.1093/oso/9780195109900.003.0008.

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For all spatial scales, from pore through local and field, to a watershed, interaction of the land surface with the atmosphere will be one of the crucial topics in hydrology and environmental sciences over the forthcoming years. The recent lack of water in many parts of the world shows that there is an urgent need to assess our knowledge on the soil moisture dynamics. The difficulty of parameterization of soil hydrological processes lies not only in the nonlinearity of the unsaturated flow equation but also in the mismatch between the scales of measurements and the scale of model predictions. Most standard measurements of soil physical parameters provide information only at the local scale and highlight the underlying variability in soil hydrological characteristics. The efficiency of soil characteristic parameterization for the field scale depends on the clear definition of the functional relationships and parameters to be measured, and on the development of possible methods for the determination of soil characteristics with a realistic use time and effort. The soil’s hydraulic properties that affect the flow behavior can be expressed by a soil water retention curve that describes the relation between volumetric water content, θ(L3L3), and soil water pressure, h(L), plus the relation between volumetric water content and hydraulic conductivity, K(L/T). In the next section, the determination of soil hydraulic parameters is first discussed for local and field scale. Then, we show how the pore-scale processes can be linked to soil hydraulic properties. These properties are then used in some of the modern methods that use integral and superposition solutions of Richards’ equation for infiltration and water flow problems for both stable and preferential types of flows. Finally, some practical aspects for watersheds are discussed to highlight the difficulties encountered when large-scale predictions are needed.
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Conference papers on the topic "Pore-scale model"

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Zheng, Da, Yuliana Zapata, and Zulfiquar A. Reza. "Pore-Scale Characterization of Shales Using Dendroidal Theoretical Pore-Network Model." In Unconventional Resources Technology Conference. American Association of Petroleum Geologists, 2018. http://dx.doi.org/10.15530/urtec-2018-2901903.

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Mogensen, Kristian, and Erling Stenby. "A Dynamic Pore-Scale Model of Imbibition." In SPE/DOE Improved Oil Recovery Symposium. Society of Petroleum Engineers, 1998. http://dx.doi.org/10.2118/39658-ms.

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Likos, William J., Masami Nakagawa, and Stefan Luding. "Pore-Scale Model for Water Retention in Unsaturated Sand." In POWDERS AND GRAINS 2009: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON MICROMECHANICS OF GRANULAR MEDIA. AIP, 2009. http://dx.doi.org/10.1063/1.3180077.

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Andersen, Charles P., Han Hu, Vibha Kalra, and Ying Sun. "PORE-SCALE TRANSPORT RESOLVED MODEL FOR LI-AIR BATTERIES." In Proceedings of CHT-15. 6th International Symposium on ADVANCES IN COMPUTATIONAL HEAT TRANSFER , May 25-29, 2015, Rutgers University, New Brunswick, NJ, USA. Begellhouse, 2015. http://dx.doi.org/10.1615/ichmt.2015.intsympadvcomputheattransf.970.

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Swami, Vivek, and Antonin Settari. "A Pore Scale Gas Flow Model for Shale Gas Reservoir." In SPE Americas Unconventional Resources Conference. Society of Petroleum Engineers, 2012. http://dx.doi.org/10.2118/155756-ms.

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Gaol, C. L., O. I. Ajala, and L. Ganzer. "Numerical Simulation of a Pore-Scale Model Water Flooding Process." In 77th EAGE Conference and Exhibition 2015. EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201412499.

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Yi, Yao, Liangcai Cao, Wei Guo, Yaping Luo, Qingsheng He, and Guofan Jin. "Scale parameter-estimating method for adaptive fingerprint pore extraction model." In International Conference on Optical Instruments and Technology (OIT2011). SPIE, 2011. http://dx.doi.org/10.1117/12.907279.

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Li, Y., X. Li, J. Shi, H. Wang, L. Wu, and S. Teng. "A Nano-Pore Scale Gas Flow Model for Shale Gas Reservoir." In SPE Energy Resources Conference. Society of Petroleum Engineers, 2014. http://dx.doi.org/10.2118/169939-ms.

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Li, Y., X. Li, J. Shi, H. Wang, L. Wu, and S. Teng. "A Nano-Pore Scale Gas Flow Model for Shale Gas Reservoir." In SPE Energy Resources Conference. SPE, 2014. http://dx.doi.org/10.2118/spe-169939-ms.

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AbstractMany shale/tight gas reservoirs can have pore scale values in the range from one to hundreds of nanometer. And the flow in nano-scale deviate the Darcy's law. Knudsen diffusion and/or gas slippage effects usually have modeled to character the non-Darcy flow mechanisms by many authors.In this paper, we investigate the non-Darcy flow mechanisms in unconventional gas reservoirs, and classify these various mechanisms based on different pore scale and pressure. Then, based on the change of pore scale and pressure, the models of gas flow that consider the absorption, desorption, slip flow, transition flow, Knudsen diffusion and continuous flow in nano-pore have been proposed to evaluate the flow character. Then, the relationship between the absorbed layers and pressure or Langmuir coefficient has been built and the influences of absorption of gas molecule have been studied on the permeability change. Compared with experimental value, the model could agree with the experimental value very well. And, desorption of the absorbed layers make the pore diameter become larger. When the thickness of the absorbed layers and the pore diameter ratio is larger than 0.1, the effect of adsorbed layer becomes very significant.With this study, the change of permeability and the gas rate on entire long term production performance could be understood better and predicted, and it is very important for the optimization of production performance and adjustment.
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Vorhauer, Nicole, P. Först, H. Schuchmann, and E. Tsotsas. "Pore network model of primary freeze drying." In 21st International Drying Symposium. Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/ids2018.2018.7284.

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The pore scale progression of the sublimation front during primary freeze drying depends on the local vapor transport and the local heat transfer as well. If the pore space is size distributed, vapor and heat transfer may spatially vary. Beyond that, the pore size distribution can substantially affect the physics of the transport mechanisms if they occur in a transitional regime. Exemplarily, if the critical mean free path is locally exceeded, the vapor transport regime passes from viscous flow to Knudsen diffusion. At the same time, the heat transfer is affected by the local ratio of pore space to the solid skeleton. The impact of the pore size distribution on the transitional vapor and heat transfer can be studied by pore scale models such as the pore network model. As a first approach, we present a pore network model with vapor transport in the transitional regime between Knudsen diffusion and viscous flow at constant temperature in the dry region. We demonstrate the impact of pore size distribution, temperature and pressure on the vapor transport regimes. Then we study on the example of a 2D square lattice, how the presence of micro and macro pores affects the macroscopic progression of the sublimation front. Keywords: pore size distribution; transitional vapor transport; pore network model; fractured sublimation front.
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Reports on the topic "Pore-scale model"

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Silin, Dmitriy, and Tad Patzek. A pore-scale model of two-phase flow in water-wet rock. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/949046.

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Liu, Qingjie, Pingping Shen, and Yu-Shu Wu. Characterizing two-phase flow relative permeabilities in chemicalflooding using a pore-scale network model. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/929035.

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Wood, Brian D. FINAL REPORT: Mechanistically-Base Field Scale Models of Uranium Biogeochemistry from Upscaling Pore-Scale Experiments and Models. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1098131.

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Andy Miller. Upscaling of Long-Term U9VI) Desorption from Pore Scale Kinetics to Field-Scale Reactive Transport Models. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/1042469.

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Steefel, Carl I., Li Li, J. A. Davis, et al. Upscaling of Long-Term U(VI) Desorption from Pore Scale Kinetics to Field-Scale Reactive Transport Models. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/896179.

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