Relevant bibliographies by topics / Pore-scale simulations

Academic literature on the topic 'Pore-scale simulations'

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Published: 14 March 2023

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Journal articles on the topic "Pore-scale simulations"

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Maier, Robert S., D. M. Kroll, H. Ted Davis, and Robert S. Bernard. "Pore-Scale Flow and Dispersion." International Journal of Modern Physics C 09, no. 08 (December 1998): 1523–33. http://dx.doi.org/10.1142/s0129183198001370.

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Pore-scale simulations of fluid flow and mass transport offer a direct means to reproduce and verify laboratory measurements in porous media. We have compared lattice-Boltzmann (LB) flow simulations with the results of NMR spectroscopy from several published flow experiments. Although there is qualitative agreement, the differences highlight numerical and experimental issues, including the rate of spatial convergence, and the effect of signal attenuation near solid surfaces. For the range of Reynolds numbers relevant to groundwater investigations, the normalized distribution of fluid velocities in random sphere packings collapse onto a single curve, when scaled with the mean velocity. Random-walk particle simulations in the LB flow fields have also been performed to study the dispersion of an ideal tracer. These simulations show an encouraging degree of quantitative agreement with published NMR measurements of hydrodynamic and molecular dispersion, and the simulated dispersivities scale in accordance with published experimental and theoretical results for the Peclet number rangek 1 ≤ Pe ≤1500. Experience with the random-walk method indicates that the mean properties of conservative transport, such as the first and second moments of the particle displacement distribution, can be estimated with a number of particles comparable to the spatial discretization of the velocity field. However, the accurate approximation of local concentrations, at a resolution comparable to that of the velocity field, requires significantly more particles. This requirement presents a significant computational burden and hence a numerical challenge to the simulation of non-conservative transport processes.
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Frouté, Laura, Yuhang Wang, Jesse McKinzie, Saman Aryana, and Anthony Kovscek. "Transport Simulations on Scanning Transmission Electron Microscope Images of Nanoporous Shale." Energies 13, no. 24 (December 17, 2020): 6665. http://dx.doi.org/10.3390/en13246665.

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Digital rock physics is an often-mentioned approach to better understand and model transport processes occurring in tight nanoporous media including the organic and inorganic matrix of shale. Workflows integrating nanometer-scale image data and pore-scale simulations are relatively undeveloped, however. In this paper, a workflow is demonstrated progressing from sample acquisition and preparation, to image acquisition by Scanning Transmission Electron Microscopy (STEM) tomography, to volumetric reconstruction to pore-space discretization to numerical simulation of pore-scale transport. Key aspects of the workflow include (i) STEM tomography in high angle annular dark field (HAADF) mode to image three-dimensional pore networks in µm-sized samples with nanometer resolution and (ii) lattice Boltzmann method (LBM) simulations to describe gas flow in slip, transitional, and Knudsen diffusion regimes. It is shown that STEM tomography with nanoscale resolution yields excellent representation of the size and connectivity of organic nanopore networks. In turn, pore-scale simulation on such networks contributes to understanding of transport and storage properties of nanoporous shale. Interestingly, flow occurs primarily along pore networks with pore dimensions on the order of tens of nanometers. Smaller pores do not form percolating pathways in the sample volume imaged. Apparent gas permeability in the range of 10−19 to 10−16 m2 is computed.
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Soulaine, Cyprien, Sophie Roman, Anthony Kovscek, and Hamdi A. Tchelepi. "Mineral dissolution and wormholing from a pore-scale perspective." Journal of Fluid Mechanics 827 (August 24, 2017): 457–83. http://dx.doi.org/10.1017/jfm.2017.499.

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A micro-continuum approach is proposed to simulate the dissolution of solid minerals at the pore scale under single-phase flow conditions. The approach employs a Darcy–Brinkman–Stokes formulation and locally averaged conservation laws combined with immersed boundary conditions for the chemical reaction at the solid surface. The methodology compares well with the arbitrary-Lagrangian–Eulerian technique. The simulation framework is validated using an experimental microfluidic device to image the dissolution of a single calcite crystal. The evolution of the calcite crystal during the acidizing process is analysed and related to the flow conditions. Macroscopic laws for the dissolution rate are proposed by upscaling the pore-scale simulations. Finally, the emergence of wormholes during the injection of acid in a two-dimensional domain of calcite grains is discussed based on pore-scale simulations.
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Langaas, Kåre, and Svante Nilsson. "Pore-scale simulations of disproportionate permeability reducing gels." Journal of Petroleum Science and Engineering 25, no. 3-4 (March 2000): 167–86. http://dx.doi.org/10.1016/s0920-4105(00)00011-5.

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Blunt, Martin, and Peter King. "Macroscopic parameters from simulations of pore scale flow." Physical Review A 42, no. 8 (October 1, 1990): 4780–87. http://dx.doi.org/10.1103/physreva.42.4780.

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Ahmed, Shakil, Tobias M. Müller, Mahyar Madadi, and Victor Calo. "Drained pore modulus and Biot coefficient from pore-scale digital rock simulations." International Journal of Rock Mechanics and Mining Sciences 114 (February 2019): 62–70. http://dx.doi.org/10.1016/j.ijrmms.2018.12.019.

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Posenato Garcia, Artur, and Zoya Heidari. "Numerical modeling of multifrequency complex dielectric permittivity dispersion of sedimentary rocks." GEOPHYSICS 86, no. 4 (June 10, 2021): MR179—MR190. http://dx.doi.org/10.1190/geo2020-0444.1.

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The dielectric response of rocks results from electric double layer (EDL), Maxwell-Wagner (MW), and dipolar polarizations. The EDL polarization is a function of solid-fluid interfaces, pore water, and pore geometry. MW and dipolar polarizations are functions of charge accumulation at the interface between materials with contrasting impedances and the volumetric concentration of its constituents, respectively. However, conventional interpretation of dielectric measurements only accounts for volumetric concentrations of rock components and their permittivities, not interfacial properties such as wettability. Numerical simulations of the dielectric response of rocks provide an ideal framework to quantify the impact of wettability and water saturation ([Formula: see text]) on electric polarization mechanisms. Therefore, we have developed a numerical simulation method to compute pore-scale dielectric dispersion effects in the interval from 100 Hz to 1 GHz including effects of pore structure, [Formula: see text], and wettability on permittivity measurements. We solve the quasielectrostatic Maxwell’s equations in 3D pore-scale rock images in the frequency domain using the finite-volume method. Then, we verify simulation results for a spherical material by comparing to the corresponding analytical solution. Additionally, we introduce a technique to incorporate [Formula: see text]-polarization to the simulation and we verify it by comparing pore-scale simulation results to experimental measurements on a Berea sandstone sample. Finally, we quantify the impact of [Formula: see text] and wettability on broadband dielectric permittivity measurements through pore-scale numerical simulations. The numerical simulation results show that mixed-wet rocks are more sensitive than water-wet rocks to changes in [Formula: see text] at sub-MHz frequencies. Furthermore, permittivity and conductivity of mixed-wet rocks have weaker and stronger dispersive behaviors, respectively, when compared to water-wet rocks. Finally, numerical simulations indicate that conductivity of mixed-wet rocks can vary by three orders of magnitude from 100 Hz to 1 GHz. Therefore, Archie’s equation calibrated at the wrong frequency could lead to water saturation errors of up to 73%.
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Morris, J. P., Y. Zhu, and P. J. Fox. "Parallel simulations of pore-scale flow through porous media." Computers and Geotechnics 25, no. 4 (December 1999): 227–46. http://dx.doi.org/10.1016/s0266-352x(99)00026-9.

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Zhang, Haiyang, Hamid Abderrahmane, Mohammed Al Kobaisi, and Mohamed Sassi. "Pore-Scale Characterization and PNM Simulations of Multiphase Flow in Carbonate Rocks." Energies 14, no. 21 (October 21, 2021): 6897. http://dx.doi.org/10.3390/en14216897.

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This paper deals with pore-scale two-phase flow simulations in carbonate rock using the pore network method (PNM). This method was used to determine the rock and flow properties of three different rock samples, such as porosity, capillary pressure, absolute permeabilities, and oil–water relative permeabilities. The pore network method was further used to determine the properties of rock matrices, such as pore size distribution, topological structure, aspect ratio, pore throat shape factor, connected porosity, total porosity, and absolute permeability. The predicted simulation for the network-connected porosity, total porosity, and absolute permeability agree well with those measured experimentally when the image resolution is appropriate to resolve the relevant pore and throat sizes. This paper also explores the effect of the wettability and fraction of oil-wet pores on relative permeabilities, both in uniform and mixed wet systems.
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Ramstad, Thomas, Anders Kristoffersen, and Einar Ebeltoft. "Uncertainty span for relative permeability and capillary pressure by varying wettability and spatial flow directions utilizing pore scale modelling." E3S Web of Conferences 146 (2020): 01002. http://dx.doi.org/10.1051/e3sconf/202014601002.

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Relative permeability and capillary pressure are key properties within special core analysis and provide crucial information for full field simulation models. These properties are traditionally obtained by multi-phase flow experiments, however pore scale modelling has during the last decade shown to add significant information as well as being less time-consuming to obtain. Pore scale modelling has been performed by using the lattice-Boltzmann method directly on the digital rock models obtained by high resolution micro-CT images on end-trims available when plugs are prepared for traditional SCAL-experiments. These digital rock models map the pore-structure and are used for direct simulations of two-phase flow to relative permeability curves. Various types of wettability conditions are introduced by a wettability map that opens for local variations of wettability on the pore space at the pore level. Focus have been to distribute realistic wettabilities representative for the Norwegian Continental Shelf which is experiencing weakly-wetting conditions and no strong preference neither to water nor oil. Spanning a realistic wettability-map and enabling flow in three directions, a large amount of relative permeability curves is obtained. The resulting relative permeabilities hence estimate the uncertainty of the obtained flow properties on a spatial but specific pore structure with varying, but realistic wettabilities. The obtained relative permeability curves are compared with results obtained by traditional SCAL-analysis on similar core material from the Norwegian Continental Shelf. The results are also compared with the SCAL-model provided for full field simulations for the same field. The results from the pore scale simulations are within the uncertainty span of the SCAL models, mimic the traditional SCAL-experiments and shows that pore scale modelling can provide a time- and cost-effective tool to provide SCAL-models with uncertainties.
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Dissertations / Theses on the topic "Pore-scale simulations"

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Hinz, Christian [Verfasser]. "Reactive flow in porous media based on numerical simulations at the pore scale / Christian Hinz." Mainz : Universitätsbibliothek Mainz, 2020. http://d-nb.info/1211963128/34.

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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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SALOMOV, UKTAM. "3D pore-scale simulation of the fluid flow through the electrodes of High Temperature Polymeric Electrolyte Fuel Cell." Doctoral thesis, Politecnico di Torino, 2014. http://hdl.handle.net/11583/2546336.

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Fuel cells and hydrogen are two key components for building a competitive, secure, and sustainable clean energy economy, due to possibility to convert diverse fuels directly into electrical power without combustion and a carbon-free fuel that can be produced from renewable resources. However, to become competitive in a market, fuel cells should overcome the issues by improvements in durability and performance as well as reductions in manufacturing cost. Recent advances in fuel cell technology has been made by development of the high temperature (HT) polymeric electrolyte membrane (PEM) fuel cells (FC). Owing to combination of the advantages of two types of fuel cells, namely polymeric electrolyte membrane and phosphoric acid, it is considered as one of the best technological solutions. Further improvements cannot be done without deep understanding of the major causes and underlying physico-chemical phenomena for specific degradation mechanisms of different compartments of HT-PEMFC, especially porous electrodes, which are the most vulnerable part prone to degradation processes, and predicting the impact of these degradation effects. Modeling can provide insight into the mechanisms that lead to irreversible or reversible performance loss and the relation between these mechanisms and the operating conditions, based on the changes in materials properties that can be observed. Moreover, another important issue of modeling is understanding the interaction between different specific membrane degradation mechanisms and their complex and mixed effects due to their simultaneously occurrence in real fuel cell operation, which requires multi-scale analysis of undergoing phenomena. This work represents a step towards reliable algorithms for reconstructing micro-morphology of electrode materials of high-temperature proton-exchange membrane fuel cells and for performing pore-scale simulations of fluid flow (including rarefaction effects). In particular, we developed a deterministic model for a woven gas diffusion layer (GDL) and the stochastic model for a non-woven GDL and a carbon- supported catalyst layer (CL) based on clusterization of carbon particles. We verified that both developed models accurately recover the experimental values of permeability, without any special ad-hoc tuning. Moreover, we investigated the effect of catalyst particle distributions inside the CL on the degree of clusterization and on the microscopic fluid flow, which is relevant for degradation modeling (e.g. loss of phosphoric acid). The three-dimensional pore-scale simulations of fluid flow for the direct numerical calculation of macroscopic transport parameters, like permeability, were performed by the Lattice Boltzmann Method (LBM). Within framework of this thesis, we investigate how distribution of catalyst (Pt) particles can affect gas dynamics, electro-chemistry and consequently performance in high temperature proton exchange membrane fuel cells. Optimal distribution of catalyst can be used as a mitigation strategy for phosphoric acid loss and crossover of reagents through membrane. The main idea is that one of the reasons of degradation is the gas dynamic pulling stress at the interface between the catalyst and the membrane. This stress can be highly reduced by tuning the main morphological parameters of the catalyst layer, like distribution of catalyst particles and clusterization. We have performed direct numerical pore-scale simulations of the gas flow through catalyst layer for different distributions of catalyst particles, in order to minimize this stress and hence to improve durability. The results of pore-scale simulation for exponential decay distribution show more than one order of magnitude reduction of the pulling stress, compared to the homogeneous (conventional) distribution. Moreover, a simplified three-dimensional macroscopic model of the membrane electrode assembly (MEA) with catalyst layer comprised of three sublayers with different catalyst loadings, has been developed to analyze how the proposed mitigation strategy affects the polarization curve and hence the performance. This macroscopic model presents 67% reduction in pulling stress for feasible mitigation strategy, at the price of only 9.3% reduction in efficiency at high current densities.
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Suicmez, Vural Sander. "Pore scale simulation of three-phase flow." Thesis, Imperial College London, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.441972.

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Fahlke, Jorrit. "Pore scale simulation of transport in porous media." [S.l. : s.n.], 2008. http://nbn-resolving.de/urn:nbn:de:bsz:16-opus-89155.

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Talabi, Olumide Adegbenga. "Pore Scale Simulation of NMR Response in Porous Media." Thesis, Imperial College London, 2008. http://hdl.handle.net/10044/1/4261.

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Rock properties are usually predicted using 3D images of the rockÂ’s microstructure. While single-phase rock properties can be computed directly on these images, twophase properties are usually predicted using networks extracted from these images. To make accurate predictions with networks, they must be topologically similar to the porous medium of interest. In this work, NMR response is simulated using a random walk method. The simulations were performed on 3D images obtained from micro-CT scanning and in topologically equivalent networks extracted from these images using a maximal ball algorithm. A comparison of the NMR simulations on a 3D image and an extracted network helps to ascertain if the network is representative of the underlying 3D image. Single-phase NMR simulations are performed on 3D images and extracted networks for different porous media including sand packs, poorly consolidated sandstones, consolidated sandstones and carbonates, and are compared successfully with experimental measurements. The algorithm developed for the simulation of NMR response in networks was validated using a tuned Berea network that reproduced experimental capillary pressure data in Bentheimer sandstone. Simulation results of the sand packs and poorly consolidated media show that the T2 distributions of the networks are narrower than those of the corresponding micro-CT images and experimental data. This is attributed to the loss of some fine details of the pore structure in the network extraction algorithm. The algorithm developed for singlephase NMR response in networks was extended to two-phase fluids in order to study the effect of wettability on simulated NMR response in networks. While NMR behaviour is influenced pore structure, wettability and phase saturation, it is not possible to determine each of these influences uniquely. The ultimate goal is to have a two-phase simulator that predicts relative permeability, electrical resistivity, NMR response and capillary pressure which will be used to determine the wettability of a porous medium.
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Akanji, Lateef Temitope. "Simulation of pore-scale flow using finite element-methods." Thesis, Imperial College London, 2010. http://hdl.handle.net/10044/1/5661.

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I present a new finite element (FE) simulation method to simulate pore-scale flow. Within the pore-space, I solve a simplified form of the incompressible Navier-Stoke’s equation, yielding the velocity field in a two-step solution approach. First, Poisson’s equation is solved with homogeneous boundary conditions, and then the pore pressure is computed and the velocity field obtained for no slip conditions at the grain boundaries. From the computed velocity field I estimate the effective permeability of porous media samples characterized by thin section micrographs, micro-CT scans and synthetically generated grain packings. This two-step process is much simpler than solving the full Navier Stokes equation and therefore provides the opportunity to study pore geometries with hundreds of thousands of pores in a computationally more cost effective manner than solving the full Navier-Stoke’s equation. My numerical model is verified with an analytical solution and validated on samples whose permeabilities and porosities had been measured in laboratory experiments (Akanji and Matthai, 2010). Comparisons were also made with Stokes solver, published experimental, approximate and exact permeability data. Starting with a numerically constructed synthetic grain packings, I also investigated the extent to which the details of pore micro-structure affect the hydraulic permeability (Garcia et al., 2009). I then estimate the hydraulic anisotropy of unconsolidated granular packings. With the future aim to simulate multiphase flow within the pore-space, I also compute the radii and derive capillary pressure from the Young-Laplace equation (Akanji and Matthai,2010)
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Shah, Saurabh Mahesh Kumar. "Multi-scale imaging of porous media and flow simulation at the pore scale." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/34323.

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In the last decade, the fundamental understanding of pore-scale flow in porous media has been undergoing a revolution through the recent development of new pore-scale imaging techniques, reconstruction of three-dimensional pore space images, and advances in the computational methods for solving complex fluid flow equations directly or indirectly on the reconstructed three-dimensional pore space images. Important applications include hydrocarbon recovery from - and CO2 storage in - reservoir rock formations. Of particular importance is the consideration of carbonate reservoirs, as our understanding of carbonates with respect to geometry and fluid flow processes is still very limited in comparison with sandstone reservoirs. This thesis consists of work mainly performed within the Qatar Carbonates and Carbon Storage Research Centre (QCCSRC) project, focusing on development of three dimensional imaging techniques for accurately characterizing and predicting flow/transport properties in both complex benchmark carbonate and sandstone rock samples. Firstly, the thesis presents advances in the application of Confocal Laser Scanning Microscopy (CLSM), including the improvement of existing sample preparation techniques and a step-by step guide for imaging heterogeneous rock samples exhibiting sub-micron resolution pores. A novel method has been developed combining CLSM with sequential grinding and polishing to obtain deep 3D pore-scale images. This overcomes a traditional limitation of CLSM, where the depth information in a single slice is limited by attenuation of the laser light. Other features of this new method include a wide field of view at high resolution to arbitrary depth; fewer grinding steps than conventional serial sectioning using 2D microscopy; the image quality does not degrade with sample size, as e.g. in micro-computed tomography (micro- CT) imaging. Secondly, it presents two fundamental issues - Representative Element of Volume (REV) and scale dependency which are addressed with qualitative and quantitative solutions for rocks increasing in heterogeneity from beadpacks to sandpacks to sandstone to carbonate rocks. The REV is predicted using the mathematical concept of the Convex Hull, CH, and the Lorenz coefficient, LC, to investigate the relation between two macroscopic properties simultaneously, in this case porosity and absolute permeability. The effect of voxel resolution is then studied on the segmented macro-pore phase (macro-porosity) and intermediate phase (micro-porosity) and the fluid flow properties of the connected macro-pore space using lattice-Boltzmann (LB) and pore network (PN) modelling methods. A numerical coarsening (up-scaling) algorithm have also been applied to reduce the computational power and time required to accurately predict the flow properties using the LB and PN methods. Finally, a quantitative methodology has been developed to predict petrophysical properties, including porosity and absolute permeability for X-ray medical computed tomography (CT) carbonate core images of length 120 meters using image based analysis. The porosity is calculated using a simple segmentation based on intensity grey values and the absolute permeability using the Kozeny-Carman equation. The calculated petrophysical properties were validated with the experimental plug data.
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PANINI, FILIPPO. "Pore-scale characterization of rock images: geometrical analysis and hydrodynamic simulation." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2970983.

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MESSINA, FRANCESCA. "Pore-scale simulation of micro and nanoparticle transport in porous media." Doctoral thesis, Politecnico di Torino, 2015. http://hdl.handle.net/11583/2603755.

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The transport and deposition of colloidal particles in saturated porous media are processes of considerable importance in many fields of science and engineering, including the propagation of contaminants and of microorganisms in aquifer systems and the use of micro- and nano-particles as reagents for groundwater remediation interventions. Colloid transport is a peculiar multi-scale problem: pore-scale phenomena and inter granular dynamics have an important impact on the larger-scale transport. In this thesis a microscale approach was used to gain a better understanding of the mechanisms underlying colloidal processes, such as deposition and aggregation. The research activity was carried out by performing numerical simulations through the FEM software, COMSOL Multiphysics®. The first part of the study focuses on the development of a new correlation equation to predict single collector efficiency, a key concept in filtration theory, which allows predicting particle deposition on a single spherical collector. By performing Eulerian and Lagrangian simulations in a simple geometry and by using an innovative approach to interpret the results, a new correlation equation to predict single collector efficiency has been formulated. A hierarchical approach to interpret the results was exploited. The proposed correlation equation presents innovative features, such as the validity for a wide range of parameters (also at very small Peclet numbers), the prediction of efficiency values always lower than unity, the total flux normalization and the analysis of the mutual interactions between the main transport mechanisms (advection, gravity and diffusion) and the steric effect. The final formula was also extended to include porosity and a reduced model was proposed. The second part of the study focuses on more realistic systems, characterized by a column of spherical collectors in series. The numerical simulations performed show the limits of the existing models to interpret the experimental data. Therefore, a more rigorous procedure to evaluate the filtration processes in presence of a series of collectors was developed.
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Books on the topic "Pore-scale simulations"

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visualized experiments and simulation on pore scale fluids flow and deformation mechanism of rock. ausasia science and technology press pty ltd, 2021. http://dx.doi.org/10.26804/2021070101.

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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 simulations"

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Jithin, M., Nimish Kumar, Malay K. Das, and Ashoke De. "Estimation of Permeability of Porous Material Using Pore Scale LBM Simulations." In Fluid Mechanics and Fluid Power – Contemporary Research, 1381–88. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2743-4_132.

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Liou, May-Fun, and HyoungJin Kim. "Pore Scale Simulation of Combustion in Porous Media." In Computational Fluid Dynamics 2008, 363–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01273-0_46.

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Lisitsa, Vadim, and Tatyana Khachkova. "3D Simulation of the Reactive Transport at Pore Scale." In Communications in Computer and Information Science, 3–16. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92864-3_1.

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Lisitsa, Vadim, and Tatyana Khachkova. "Numerical Simulation of the Reactive Transport at the Pore Scale." In Computational Science and Its Applications – ICCSA 2020, 123–34. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58799-4_9.

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Ferrand, L. A., M. A. Celia, H. Rajaram, and P. C. Reeves. "A Pore-Scale Algorithm for Simulation of Dissolution in Porous Media." In Computational Methods in Water Resources X, 457–63. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-010-9204-3_56.

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Lisitsa, Vadim, Tatyana Khachkova, Dmitry Prokhorov, Yaroslav Bazaikin, and Yongfei Yang. "Numerical Simulation of the Reactive Transport at Pore Scale in 3D." In Computational Science and Its Applications – ICCSA 2021, 375–87. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87016-4_28.

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Balashov, Vladislav, and E. B. Savenkov. "Direct Numerical Simulation of Single and Two-Phase Flows at Pore-Scale." In Springer Proceedings in Earth and Environmental Sciences, 374–79. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11533-3_37.

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Liou, May-Fun, and Issac Greber. "Mesh-Based Microstructure Representation Algorithm for Simulating Pore-scale Transport Phenomena in Porous Media." In Computational Fluid Dynamics 2006, 601–6. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92779-2_94.

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Sun, Shuyu, and Tao Zhang. "Recent progress in pore scale reservoir simulation." In Reservoir Simulations, 87–142. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-820957-8.00003-4.

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Chen, S. Y., D. X. Zhang, and Q. J. Kang. "Pore-scale simulations of flow, transport, and reaction in porous media." In Computational Methods in Water Resources: Volume 1, 49–60. Elsevier, 2004. http://dx.doi.org/10.1016/s0167-5648(04)80036-4.

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Conference papers on the topic "Pore-scale simulations"

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Boek, Edo Sicco. "Pore Scale Simulation of Flow in Porous Media Using Lattice-Boltzmann Computer Simulations." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2010. http://dx.doi.org/10.2118/135506-ms.

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Talabi, Olumide Adegbenga, Saif Alsayari, Martin Julian Blunt, Hu Dong, and Xiucai Zhao. "Predictive Pore Scale Modeling: From 3D Images to Multiphase Flow Simulations." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2008. http://dx.doi.org/10.2118/115535-ms.

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Hernandez, Jesus Nain Camacho, Markus Schubert, and Uwe Hampel. "Numerical Simulations of the Pore-Scale Flow in Ceramic Open-Cell Foams." In The 4th World Congress on Momentum, Heat and Mass Transfer. Avestia Publishing, 2019. http://dx.doi.org/10.11159/icmfht19.124.

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Vinningland, J. L., E. Jettestuen, O. Aursjø, M. V. Madland, and A. Hiorth. "Mineral Dissolution and Precipitation Rate Laws Predicted from Reactive Pore Scale Simulations." In IOR 2017 - 19th European Symposium on Improved Oil Recovery. Netherlands: EAGE Publications BV, 2017. http://dx.doi.org/10.3997/2214-4609.201701792.

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Nhunduru, R. A. E., K. L. Wlodarczyk, A. Jahanbakhsh, O. Shahrokhi, S. Garcia, and M. M. Maroto-Valer. "Pore-Scale Simulations of Residual Trapping in Homogeneous and Heterogeneous Porous Media." In EAGE 2020 Annual Conference & Exhibition Online. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202011565.

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Li, Jun, and Abdullah S. Sultan. "Permeability Computations of Shale Gas by the Pore-Scale Monte Carlo Molecular Simulations." In International Petroleum Technology Conference. International Petroleum Technology Conference, 2015. http://dx.doi.org/10.2523/iptc-18263-ms.

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Ahmed, Shakil, Tobias M. Müller, Jiabin Liang, Genyang Tang, and Mahyar Madadi. "Macroscopic Deformation Moduli of Porous Rocks: Insights from Digital Image Pore-Scale Simulations." In Sixth Biot Conference on Poromechanics. Reston, VA: American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480779.101.

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Bueno, N., M. Icardi, F. Municchi, H. Solano, and J. Mejía. "Upscaling of Nanoparticle Retention Rate for Single-Well Applications From Pore-Scale Simulations." In ECMOR XVII. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202035019.

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Kharaghani, Abdolreza, Xiang Lu, and Evangelos Tsotsas. "Dependency of continuum model parameters on the spatially correlated pore structure studied by pore-network drying simulations." In 21st International Drying Symposium. Valencia: Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/ids2018.2018.7417.

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Pore-network simulations are carried out for monomodal and bimodal pore structures with spatially correlated pore-size distributions. The internal and surface relationships between the partial vapor pressure and saturation as well as the moisture transport coefficient for these model porous structures are identified from the post-processing of the corresponding pore-network model solutions. The simulation results show that the deviation of the partial vapor pressure from the saturation vapor pressure in the presence of liquid – which is referred to as non-local equilibrium effect – in the bimodal pore structures is less pronounced than in the monomodal pore structures. For the monomodal pore structures the moisture transport coefficient profile is not unique over the entire drying process, whereas this profile depends marginally on the drying history of the bimodal pore structures. Finally the ability of the continuum model to predict the results of the pore-network simulations for multiple realizations of the pore space is assessed. Keywords: Scale transition, Moisture transport coefficient, Pore structure, Discrete model, Continuum model
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Boek, Edo Sicco, Ioannis Zacharoudiou, Farrel Gray, Saurabh Mahesh Kumar Shah, John Crawshaw, and Jianhui Yang. "Multiphase flow and reactive transport at the pore scale using lattice-Boltzmann computer simulations." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2014. http://dx.doi.org/10.2118/170941-ms.

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Reports on the topic "Pore-scale simulations"

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Oostrom, Martinus, Vicky L. Freedman, Thomas W. Wietsma, and Michael J. Truex. Pore-Water Extraction Intermediate-Scale Laboratory Experiments and Numerical Simulations. Office of Scientific and Technical Information (OSTI), June 2011. http://dx.doi.org/10.2172/1029434.

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Jettestuen, Espen, Olav Aursjø, Jan Ludvig Vinningland, Aksel Hiorth, and Arild Lohne. Smart Water flooding: Part 2: Important input parameters for modeling and upscaling workflow. University of Stavanger, November 2021. http://dx.doi.org/10.31265/usps.200.

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This document presents some guidelines on how to conduct numerical investigations of the physicochemical effects of Smart Water flooding on different length scales. The National IOR Centre of Norway (NIORC) has developed several simulation tools. The objective of this report is to describe how three NIORC-developed simulation tools BADChIMP, IORCoreSim, and IORSim, can be used to investigate Smart Water effects on different length scales. We present which input parameters are needed by the simulation tools, and we discuss which processes these tools are suited to study. When working with different length scales, one of the challenges is how to upscale results obtained from smaller scales, i.e., pore and core scale experiments or simulations, to the field scale. Here, three relevant questions are: 1) how far do the Smart Water effects propagate into a reservoir? 2) What is the effect of reservoir temperature on Smart Water behavior? 3) How is the oil release, observed on core scale, related to the oil production from a field? This document targets research scientists planning to perform either pore scale simulations, core scale simulations, or field scale simulations for Smart Water studies. The technical level of the document is targeting an industry engineer.
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Wang, Herbert F. Pore Scale Simulations of Rock Deformation, Fracture, and Fluid Flow in Three Dimensions. Office of Scientific and Technical Information (OSTI), April 2005. http://dx.doi.org/10.2172/838252.

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Aursjø, Olav, Aksel Hiorth, Alexey Khrulenko, and Oddbjørn Mathias Nødland. Polymer flooding: Simulation Upscaling Workflow. University of Stavanger, November 2021. http://dx.doi.org/10.31265/usps.203.

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There are many issues to consider when implementing polymer flooding offshore. On the practical side one must handle large volumes of polymer in a cost-efficient manner, and it is crucial that the injected polymer solutions maintain their desired rheological properties during transit from surface facilities and into the reservoir. On the other hand, to predict polymer flow in the reservoir, one must conduct simulations to find out which of the mechanisms observed at the pore and core scales are important for field behavior. This report focuses on theoretical aspects relevant for upscaling of polymer flooding. To this end, several numerical tools have been developed. In principle, the range of length scales covered by these tools is extremely wide: from the nm (10-9 m) to the mm (10-3 m) range, all the way up to the m and km range. However, practical limitations require the use of other tools as well, as described in the following paragraphs. The simulator BADChIMP is a pore-scale computational fluid dynamics (CFD) solver based on the Lattice Boltzmann method. At the pore scale, fluid flow is described by classical laws of nature. To a large extent, pore scale simulations can therefore be viewed as numerical experiments, and they have great potential to foster understanding of the detailed physics of polymer flooding. While valid across length scales, pore scale models require a high numerical resolution, and, subsequently, large computational resources. To model laboratory experiments, the NIORC has, through project 1.1.1 DOUCS, developed IORCoreSim. This simulator includes a comprehensive model for polymer rheological behavior (Lohne A. , Stavland, Åsen, Aursjø, & Hiorth, 2021). The model is valid at all continuum scales; however, the simulator implementation is not able to handle very large field cases, only smaller sector scale systems. To capture polymer behavior at the full field scale, simulators designed for that specific purpose must be used. One practical problem is therefore: How can we utilize the state-of-the-art polymer model, only found in IORCoreSim, as a tool to decrease the uncertainty in full field forecasts? To address this question, we suggest several strategies for how to combine different numerical tools. In the Methodological Approach section, we briefly discuss the more general issue of linking different scales and simulators. In the Validation section, we present two case studies demonstrating the proposed strategies and workflows.
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Hammouti, A., S. Larmagnat, C. Rivard, and D. Pham Van Bang. Use of CT-scan images to build geomaterial 3D pore network representation in preparation for numerical simulations of fluid flow and heat transfer, Quebec. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331502.

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Non-intrusive techniques such as medical CT-Scan or micro-CT allow the definition of 3D connected pore networks in porous materials, such as sedimentary rocks or concrete. The definition of these networks is a key step towards the evaluation of fluid flow and heat transfer in energy resource (e.g., hydrocarbon and geothermal reservoirs) and CO2 sequestration research projects. As material heterogeneities play a role at all scales (from micro- to project-scale), numerical models represent a powerful tool for bridging the gap between small-scale measurements provided by X-ray imaging techniques and larger-scale transport properties. This study uses pre-existing medical CT-scan datasets of reference material, namely glass beads and conventional reservoir rocks (Berea sandstone, Boise sandstone, Indiana limestone) to extract the 3D geometry of connected pores using an open-source software (Spam). Pore networks from rock samples were generated from dry and then saturated samples. Binarized datasets were produced for these materials (generated by a thresholding technique) to obtain pore size distribution and tortuosity, as well as preferential paths for fluid flow. Average porosities were also calculated for comparison with those obtained by conventional commercial laboratory techniques. The results obtained show that this approach works well for medium and coarse-grained materials that do not contain a large percentage of fine particles. However, this approach does not allow representative networks to be obtained for fine-grained rocks, due to the fact that small pores (or pore throats) cannot be taken into account in the datasets obtained from the medical CT-Scan. A next step, using datasets produced from a micro- CT scan, is planned in order to be able to generate representative networks in this type of material as well.
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Oliynyk, Kateryna, and Matteo Ciantia. Application of a finite deformation multiplicative plasticity model with non-local hardening to the simulation of CPTu tests in a structured soil. University of Dundee, December 2021. http://dx.doi.org/10.20933/100001230.

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In this paper an isotropic hardening elastoplastic constitutive model for structured soils is applied to the simulation of a standard CPTu test in a saturated soft structured clay. To allow for the extreme deformations experienced by the soil during the penetration process, the model is formulated in a fully geometric non-linear setting, based on: i) the multiplicative decomposition of the deformation gradient into an elastic and a plastic part; and, ii) on the existence of a free energy function to define the elastic behaviour of the soil. The model is equipped with two bonding-related internal variables which provide a macroscopic description of the effects of clay structure. Suitable hardening laws are employed to describe the structure degradation associated to plastic deformations. The strain-softening associated to bond degradation usually leads to strain localization and consequent formation of shear bands, whose thickness is dependent on the characteristics of the microstructure (e.g, the average grain size). Standard local constitutive models are incapable of correctly capturing this phenomenon due to the lack of an internal length scale. To overcome this limitation, the model is framed using a non-local approach by adopting volume averaged values for the internal state variables. The size of the neighbourhood over which the averaging is performed (characteristic length) is a material constant related to the microstructure which controls the shear band thickness. This extension of the model has proven effective in regularizing the pathological mesh dependence of classical finite element solutions in the post-localization regime. The results of numerical simulations, conducted for different soil permeabilities and bond strengths, show that the model captures the development of plastic deformations induced by the advancement of the cone tip; the destructuration of the clay associated with such plastic deformations; the space and time evolution of pore water pressure as the cone tip advances. The possibility of modelling the CPTu tests in a rational and computationally efficient way opens a promising new perspective for their interpretation in geotechnical site investigations.
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Schwartz, A. Campaign 2 Level 2 Milestone Review 2009: Milestone # 3131 Grain Scale Simulation of Pore Collapse. Office of Scientific and Technical Information (OSTI), September 2009. http://dx.doi.org/10.2172/966564.

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