Дисертації з теми "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.
Повний текст джерелаWu, Haiyi. "Multiphysics Transport in Heterogeneous Media: from Pore-Scale Modeling to Deep Learning." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/98520.
Повний текст джерелаDoctor 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.
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.
Повний текст джерелаSuicmez, 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.
Повний текст джерелаFahlke, 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.
Повний текст джерелаTalabi, Olumide Adegbenga. "Pore Scale Simulation of NMR Response in Porous Media." Thesis, Imperial College London, 2008. http://hdl.handle.net/10044/1/4261.
Повний текст джерелаAkanji, Lateef Temitope. "Simulation of pore-scale flow using finite element-methods." Thesis, Imperial College London, 2010. http://hdl.handle.net/10044/1/5661.
Повний текст джерелаShah, 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.
Повний текст джерелаPANINI, FILIPPO. "Pore-scale characterization of rock images: geometrical analysis and hydrodynamic simulation." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2970983.
Повний текст джерелаMESSINA, FRANCESCA. "Pore-scale simulation of micro and nanoparticle transport in porous media." Doctoral thesis, Politecnico di Torino, 2015. http://hdl.handle.net/11583/2603755.
Повний текст джерелаSeyedpour, Seyed Morteza [Verfasser]. "Simulation of contaminant transport in groundwater: From pore-scale to large-scale / Seyed Morteza Seyedpour." Düren : Shaker, 2021. http://d-nb.info/1238497713/34.
Повний текст джерелаAlAdwani, Mohammad S. Kh F. Sh. "Prediction of velocity distribution from the statistics of pore structure in 3D porous media via high-fidelity pore-scale simulation." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113977.
Повний текст джерелаThesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 57-60).
Fluid flow and particle transport through porous media are determined by the geometry of the host medium itself. Despite the fundamental importance of the velocity distribution in controlling early-time and late-time transport properties (e.g., early breakthrough and superdiffusive spreading), direct relations linking velocity distribution with the statistics of pore structure in 3D porous media have not been established yet. High velocities are controlled by the formation of channels, while low velocities are dominated by stagnation zones. Recent studies have proposed phenomenological models for the distribution of high velocities including stretched exponential and power-exponential distributions but without an underlying mechanistic or statistical physics theory. Here, we investigate the relationship between the structure of the host medium and the resulting fluid flow in random dense spherical packs. We simulate flow at low Reynolds numbers by solving the Stokes equations with the finite volume method and imposing a no-slip boundary condition at the boundary of each sphere. High fidelity numerical simulations of Stokes flow are facilitated with the assist of open source Computational Fluid Dynamics (CFD) tools such as OpenFOAM. We show that the distribution of low velocities in 3D porous media is described by a Gamma distribution, which is robust to variations in the geometry of the porous media. We develop a simple model that predicts the parameters of the gamma distribution in terms of the porosity of the host medium. Despite its simplicity, the analytical predictions from the model agree well with high-resolution simulations in terms of velocity distribution.
by Mohammad S Kh F Sh AlAdwani.
S.M.
ZHENG, WEIBO. "Pore-Scale Simulation of Cathode Catalyst Layers in Proton Exchange Membrane Fuel Cells (PEMFCs)." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555436163992345.
Повний текст джерелаJahan, Farjana. "Pore-scale, Computational Fluid Dynamics-based Simulation of Supercritical CO2-brine Flow through Porous Media." Thesis, Curtin University, 2018. http://hdl.handle.net/20.500.11937/75686.
Повний текст джерелаSoll, 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.
Повний текст джерелаPinilla, 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.
Повний текст джерелаThis 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
(8072786), Soroush Aramideh. "COMPLEX FLUIDS IN POROUS MEDIA: PORE-SCALE TO FIELD-SCALE COMPUTATIONS." Thesis, 2019.
Знайти повний текст джерелаIn this work, we look into the multi-phase flow and transport through porous media at two different scales, namely pore- and Darcy scales. First, using direct numerical simulations, we study pore-scale Eulerian and Lagrangian statistics. We study the evolution of Lagrangian velocities for uniform injection of particles and numerically verify their relationship with the Eulerian velocity field. We show that for three porous media velocity, probability distributions change over a range of porosities from an exponential distribution to a Gaussian distribution. We thus model this behavior by using a power-exponential function and show that it can accurately represent the velocity distributions. Finally, using fully resolved velocity field and pore-geometry, we show that despite the randomness in the flow and pore space distributions, their two-point correlation functions decay extremely similarly.
Next, we extend our previous study to investigate the effect of viscoelastic fluids on particle dispersion, velocity distributions, and flow resistance in porous media. We show that long-term particle dispersion could not be modulated by using viscoelastic fluids in random porous media. However, flow resistance compared to the Newtonian case goes through three distinct regions depending on the strength of fluid elasticity. We also show that when elastic effects are strong, flow thickens and strongly fluctuates even in the absence of inertial forces.
Next, we focused our attention on flow and transport at the Darcy scale. In particular, we study a tertiary improved oil recovery technique called surfactant-polymer flooding. In this work, which has been done in collaboration with Purdue enhanced oil recovery lab, we aim at modeling coreflood experiments using 1D numerical simulations. To do so, we propose a framework in which various experiments need to be done to quantity surfactant phase behavior, polymer rheology, polymer effects on rock permeability, dispersion, and etc. Then, via a sensitivity study, we further reduce the parameter space of the problem to facilitate the model calibration process. Finally, we propose a multi-stage calibration algorithm in which two critically important parameters, namely peak pressure drop, and cumulative oil recovery factor, are matched with experimental data. To show the predictive capabilities of our framework, we numerically simulate two additional coreflood experiments and show good agreement with experimental data for both of our quantities of interest.
Lastly, we study the unstable displacement of non-aqueous phase liquids (e.g., oil) via a finite-size injection of surfactant-polymer slug in a 2-D domain with homogeneous and heterogeneous permeability fields. Unstable displacement could be detrimental to surfactant-polymer flood and thus is critically important to design it in a way that a piston-like displacement is achieved for maximum recovery. We study the effects of mobility ratio, finite-size length of surfactant-polymer slug, and heterogeneity on the effectiveness of such process by looking into recovery rate and breakthrough and removal times.
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.
Повний текст джерелаtext
Victor, Rodolfo Araujo. "Pore scale modeling of rock transport properties." Thesis, 2014. http://hdl.handle.net/2152/26582.
Повний текст джерелаtext
Zhang, Wenqian. "Use of pore-scale network to model three-phase flow in a bedded unsaturated zone." Thesis, 1995. http://hdl.handle.net/1957/34674.
Повний текст джерелаGraduation date: 1996
Kuttanikkad, Sreejith Pulloor [Verfasser]. "Pore-scale direct numerical simulation of flow and transport in porous media / vorgelegt von Sreejith Pulloor Kuttanikkad." 2009. http://d-nb.info/997855134/34.
Повний текст джерелаToumelin, Emmanuel. "Pore-scale petrophysical models for the simulation and combined interpretation of nuclear magnetic resonance and wide-band electromagnetic measurements of saturated rocks." Thesis, 2006. http://hdl.handle.net/2152/2614.
Повний текст джерела