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Showing papers on "Multiphase flow published in 2009"


Journal ArticleDOI
TL;DR: A single velocity, non-conservative hyperbolic model with two energy equations involving relaxation terms is developed that fulfills the equation of state and energy conservation on both sides of interfaces and guarantees correct transmission of shocks across them.

360 citations


Journal ArticleDOI
TL;DR: In this article, a combination of continuum computation fluid dynamics, fluid-fluid interface tracking or capturing and simple models for the dependence of contact angles on fluid velocity at the contact line has been used to simulate multiphase fluid flow in fracture apertures, fracture networks and pore spaces.
Abstract: In the subsurface fluids play a critical role by transporting dissolved minerals, colloids and contaminants (sometimes over long distances), by mediating dissolution and precipitation processes and enabling chemical transformations in solution and at mineral surfaces. Although the complex geometries of fracture apertures, fracture networks and pore spaces may make it difficult to accurately predict fluid flow in saturated (single-phase) subsurface systems, well developed methods are available. The simulation of multiphase fluid flow in the subsurface is much more challenging because of the large density and/or viscosity ratios found in important applications (water/air in the vadose zone, water/oil, water/gas, gas/oil and water/oil/gas in oil reservoirs, water/air/non-aqueous phase liquids (NAPL) in contaminated vadose zone systems and gas/molten rock in volcanic systems, for example). In addition, the complex behavior of fluid-fluid-solid contact lines, and its impact on dynamic contact angles, must also be taken into account, and coupled with the fluid flow. Pore network models and simple statistical physics based models such as the invasion percolation and diffusion-limited aggregation models have been used quite extensively. However, these models for multiphase fluid flow are based on simplified models for pore space geometries and simplified physics. Other methods such a lattice Boltzmann and lattice gasmore » models, molecular dynamics, Monte Carlo methods, and particle methods such as dissipative particle dynamics and smoothed particle hydrodynamics are based more firmly on first principles, and they do not require simplified pore and/or fracture geometries. However, they are less (in some cases very much less) computationally efficient that pore network and statistical physics models. Recently a combination of continuum computation fluid dynamics, fluid-fluid interface tracking or capturing and simple models for the dependence of contact angles on fluid velocity at the contact line has been used to simulate multiphase fluid flow in fracture apertures, fracture networks and pore spaces. Fundamental conservation principles - conservation of momentum, and conservation of mass (or conservation of volume for incompressible fluids) and conservation of energy, as well as symmetries (Galilean invariance and isotropy) are central to the physics of fluids and the models used to simulate them. In molecular and mesoscale models observance of these conservation principles and symmetries at the microscopic level leads to macroscopic fluid dynamics that can be represented by the Navier Stokes equation. The remarkable fact that the flow of all simpe fluids, irrespective of their chemical nature, can be described by the Navier-Stokes equation is a result of these conservation principles and symmetries acting on the molecular level.« less

328 citations


Journal ArticleDOI
TL;DR: In this article, a methodology has been developed to model Taylor flow in microchannel using the ANSYS Fluent software package and a criterion for having a sufficiently fine mesh to capture the film is suggested.

269 citations


Journal ArticleDOI
TL;DR: Results for compressible gas-water systems show that the new method can simulate interface dynamics accurately, including the effect of surface tension, and can be used for simulations of fluid interface with large density differences.

244 citations


Journal ArticleDOI
TL;DR: In this article, a mathematical model combining discrete element method (DEM) with Computational Fluid Dynamics (CFD) is presented to describe dense medium cyclone (DMC) flow system.

236 citations


Journal ArticleDOI
TL;DR: In this article, a nanoparticle based planar laser scattering method (NPLS) is developed, where the nanoparticles are used as tracer, and pulseplanar laser is used as light source in NPLS; by recording images of particles in flow field with CCD, high spatiotemporal resolution supersonic flow imaging is realized.
Abstract: Due to influence of compressibility, shock wave, instabilities, and turbulence on supersonic flows, current flow visualization and imaging techniques encounter some problems in high spatiotemporal resolution and high signal-to-noise ratio (SNR) measurements. Therefore, nanoparticle based planar laser scattering method (NPLS) is developed here. The nanoparticles are used as tracer, and pulse planar laser is used as light source in NPLS; by recording images of particles in flow field with CCD, high spatiotemporal resolution supersonic flow imaging is realized. The flow-following ability of nanoparticles in supersonic flows is studied according to multiphase flow theory and calibrating experiment of oblique shock wave. The laser scattering characteristics of nanoparticles are analyzed with light scattering theory. The results of theoretical and experimental studies show that the dynamic behavior and light scattering characteristics of nanoparticles highly enhance the spatiotemporal resolution and SNR of NPLS, with which the flow field involving shock wave, expansion, Mach disk, boundary layer, sliding-line, and mixing layer can be imaged clearly at high spatiotemporal resolution.

178 citations


Journal ArticleDOI
TL;DR: In this article, the authors address computational models for dilute gas-particle multiphase flow in which the three dimensional, time-dependent fluid motion is calculated in an Eulerian frame, and a large number of particles are tracked in a Lagrangian frame.

156 citations


Journal ArticleDOI
TL;DR: In this paper, a model of the fluid mechanics in the riser of a circulating fluidized bed (CFB) has been implemented using computational fluid dynamics (CFD), which can be used in future as the basis of 3D-reactor model for the simulation of large scale CFB combustors.

153 citations


Journal ArticleDOI
TL;DR: In this article, the authors present a new numerical method that expands the capabilities of existing Black-Oil models for three-component -three-phase flow in three ways: (i) it utilizes a finite element - finite volume discretization generalized to unstructured hybrid element meshes; (ii) higher-order accurate representations of the flux terms.
Abstract: Discrete-fracture modeling and simulation of two-phase flow in realistic representations of fractured reservoirs can now be used for the design of IOR and EOR strategies. Thus far, however, discrete fracture simulators fail to include a third compressible gaseous phase. This hinders the investigation of the performance of gas-gravity drainage, water alternating gas injection, and blow-down in fractured reservoirs. Here we present a new numerical method that expands the capabilities of existing Black-Oil models for threecomponent – three-phase flow in three ways: (i) It utilizes a finite element - finite volume discretization generalized to unstructured hybrid element meshes. (ii) It employs higher-order accurate representations of the flux terms. (iii) Flash calculations are carried out with an improved equation of state allowing for a more realistic treatment of phase behavior. We illustrate the robustness of this numerical method in several applications. First, quasi-1D simulations are used to demonstrate grid convergence. Then, 2D discrete fracture models are employed to illustrate the impact of mesh quality on predicted production rates in discrete fracture models. Finally, the proposed method is used to simulate three-component – three-phase flow in a realistic 2D model of fractured limestone mapped in the Bristol Channel, U.K. and a 3D stochastically generated discrete fracture model.

144 citations


Journal ArticleDOI
TL;DR: In this paper, a theoretical model based on a depth-averaged version of two-phase flow equations is developed to describe the initiation of underwater granular avalanches, which is able to describe both the dilatancy effects experienced by the granular skeleton during the initial deformations and the rheology of wet granular media when the flow is fully developed.
Abstract: A theoretical model based on a depth-averaged version of two-phase flow equations is developed to describe the initiation of underwater granular avalanches. The rheology of the granular phase is based on a shear-rate-dependent critical state theory, which combines a critical state theory proposed by Roux & Radjai (1998), and a rheological model recently proposed for immersed granular flows. Using those phenomenological constitutive equations, the model is able to describe both the dilatancy effects experienced by the granular skeleton during the initial deformations and the rheology of wet granular media when the flow is fully developed. Numerical solutions of the two-phase flow model are computed in the case of a uniform layer of granular material fully immersed in a liquid and suddenly inclined from horizontal. The predictions are quantitatively compared with experiments by Pailha, Nicolas & Pouliquen (2008), who have studied the role of the initial volume fraction on the dynamics of underwater granular avalanches. Once the rheology is calibrated using steady-state regimes, the model correctly predicts the complex transient dynamics observed in the experiments and the crucial role of the initial volume fraction. Quantitative predictions are obtained for the triggering time of the avalanche, for the acceleration of the layer and for the pore pressure.

143 citations


Journal ArticleDOI
TL;DR: In this article, a comprehensive reservoir parameter database with more than 1200 reservoirs is analyzed and statistical characteristics of reservoir parameters like depth, temperature, absolute and relative permeability, as well as capillary pressure are investigated.

Journal ArticleDOI
TL;DR: In this article, a multiscale model was used to predict the flow through stacked products in boxes using a direct model that combined discrete element (DE)-CFD modelling and a loaded cool room model that predicts the storage room air velocity, temperature and humidity distributions and fate of the water droplets was developed.

Journal ArticleDOI
TL;DR: This work is the fifth in a series of papers on the thermodynamically constrained averaging theory (TCAT) approach for modeling flow and transport phenomena in multiscale porous medium systems and develops Classical irreversible thermodynamics formulations for species in fluids, solids, and interfaces.

Journal ArticleDOI
TL;DR: In this article, an effective thermal conductivity model for simulation of thermo-hydro-mechanical processes of geological porous media is presented, which strictly obeys the Wiener bounds (for anisotropic media) and Hashin-Shtrikman bounds for isotropic media over wide ranges of porosities and saturations.

Journal ArticleDOI
TL;DR: In this paper, a mathematical model is developed to study the coal-medium flow in a dense medium cyclone of 1000mm body diameter, where the motion of coal particles is obtained using the Discrete Element Method (DEM) facilitated with the concept of "parcel-particle" while the flow of medium as a liquid-magnetite mixture Computational Fluid Dynamics (CFD) based on the local averaged Navier-Stokes equations.


Journal ArticleDOI
TL;DR: In this paper, a fully coupled multiphase flow, thermal transport and stress/deformation in geological porous media was developed based on the momentum, mass and energy conservation laws of the environment.


Journal ArticleDOI
TL;DR: In this paper, a three dimensional transient model is developed to simulate the local hydrodynamics of a gas-liquid-solid three-phase fluidised bed reactor using the computational fluid dynamics (CFD) method.

Journal ArticleDOI
TL;DR: This paper presents a general multiscale finite-volume method for parabolic problems arising, for example, from compressible multiphase flow in porous media and shows its good efficiency and high accuracy.

Journal ArticleDOI
TL;DR: The adaptive mesh refinement method for the lattice Boltzmann method for two-phase flow simulation is developed to overcome insufficient resolution at the interface and may appreciably enhance the capability of LBM in the simulation of complex multiphase flows under realistic conditions.

Journal ArticleDOI
TL;DR: In this paper, a general multiphase flow model is proposed for high-speed underwater propulsion systems, which is based on a mixture of energy and mixture momentum equations together with mass and volume fraction equations for each phase.

Journal ArticleDOI
TL;DR: In this paper, Boyer et al. presented a hydrodynamic model with proper capillary and mechanical dispersion terms to capture the features of the two independent physical phenomena and showed that they both can have a significant contribution to the overall dispersion of liquid flowing through a packed bed.

Journal ArticleDOI
TL;DR: In this paper, a simulation model is developed coupling the numerical solution of the flow field in the hydrocyclone based on computational fluid dynamics with population balances, and each discrete droplet size fraction is assumed to be an individual phase within a multiphase-mixture model.

Journal ArticleDOI
TL;DR: The reported device is demonstrated to separate water and chloroform segmented flow regimes at flow rates up to 0.4 ml min(-1) and the novel ability of the membrane free device to separate an organic phase containing suspended microparticulates, from an aqueous phase, is demonstrated.
Abstract: Capillary forces on the microscale are exploited to create a continuous flow liquid–liquid phase separator. Segmented flow regimes of immiscible fluids are generated and subsequently separated into their component phases through an array of high aspect ratio, laser machined, separation ducts (36 µm wide, 130 µm deep) in a planar, integrated, polytetrafluoroethylene (PTFE) microdevice. A controlled pressure differential across the phase separator architecture facilitates the selective passage of the wetting, organic, phase through the separator ducts, enabling separation of microfluidic multiphase flow streams. The reported device is demonstrated to separate water and chloroform segmented flow regimes at flow rates up to 0.4 ml min−1. Separation efficiency is quantified over a range of flow rates and applied pressure differentials, characterising device behaviour and limits of operation. Experimental measurements and observations are supported by theoretical hydrodynamic and capillary pressure modelling. The influence of material properties and geometric design parameters on phase separation is quantified and optimisation strategies proposed. The novel ability of the membrane free device to separate an organic phase containing suspended microparticulates, from an aqueous phase, is also demonstrated.

Journal ArticleDOI
TL;DR: Srivastava and Sundaresan as mentioned in this paper evaluated the effect of the introduction of frictional stresses in a Eulerian-Eulerian two fluid model based on the kinetic theory of the granular flow.

Journal ArticleDOI
TL;DR: In this article, the Particle Finite Element Method based on finite element shape functions is used to solve the continuous fluid mechanics equations in the case of heterogeneous density, and the incompressible Navier-Stokes equations are solved at each time step using a Lagrangian formulation.

Book
22 Apr 2009
TL;DR: In this paper, a state-of-the-art pore-scale network model is developed to predict flow properties for a variety of porous media. But the model is not designed to match experiments, but to use easily acquired data to predict difficult-to-measure properties.
Abstract: Flow properties for a variety of porous media can be predicted using pore-scale modelling with geologically realistic networks. A state of the art pore-scale network model is developed for this purpose. It combines topologically disordered networks that represent real systems with detailed displacement mechanisms for any sequence of water and oil flooding, and any wettability. The model is verified by successfully predicting experimental relative permeability from a well described water-wet Berea sandstone. More complex experimental data are subsequently investigated. By developing a methodology combining realistic network topology with network properties tuned to easily obtainable experimental data such as mercury injection capillary pressures, the flow properties for several porous media can successfully be predicted. This is initially applied to a water-wet sand pack. The aim of this work is not simply to match experiments, but to use easily acquired data to predict difficult-to-measure properties. Furthermore, the variation of these properties in the field, due to wettability trends and different pore structures, can now be predicted reliably.

Journal ArticleDOI
TL;DR: In this paper, the fundamental equations for conditional moment closure (CMC) modelling of individual phases set in a two-phase flow are derived based on the instantaneous transport equations for the single phase that involve a level set/indicator function technique for accounting for interfaces.

Journal ArticleDOI
TL;DR: In this article, a CFD model of Fischer-Tropsch (FT) reaction was developed, including variable gas bubble size, effects of the catalyst present in the liquid phase and chemical reactions, with the objective of predicting quantitative reactor performance.