The interaction between small clusters of cohesive particles and laminar flow: Coupled DEM/CFD approach

Grof, Zdeněk; Cook, J.M.; Lawrence, C.J.; Štěpánek, František

doi:10.1016/j.petrol.2009.01.002

Cited by 20 publications

(4 citation statements)

References 22 publications

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“…Presently, the number of publications regarding solidliquid pipe flow of cohesive particles is scarce by comparison to gas-solid pipe flow of cohesive particles and mostly for laminar flow (Vaezi G, Sanders & Masliyah, 2011;Grof et al, 2009). These works involve fundamental studies of floc and cluster structure interaction.…”

Section: Semi-empirical Modelmentioning

confidence: 99%

Settling Suspensions Flow Modelling: A Review

Silva

Garcı́a

Faia

et al. 2015

KONA

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In spite of the widespread application of settling suspensions, their inherent complexity has yet to be properly predicted by a unified numerical model or empirical correlation, and usually industries still possess customized charts or data for their particular suspension. This is, clearly, rather inefficient and can lead to oversized dimensioning, low energy efficiency and even operation limitations/difficulties. In this manuscript a review of empirical correlations, charts and numerical models that have been employed to predict the behaviour of settling suspensions is briefly described, providing information on the advantages and drawbacks of each method. Their evolution throughout the years: from Durand and Condolios correlations, to empirical models by Wasp, single phase simplifications with mixture properties by Shook and Roco, and to other Euler-Euler or Euler-Lagrangian numerical models, will be presented. Some considerations on recent particle migration and turbulence modification publications will be added. In addition, information about some current CFD application of LatticeBoltzmann and Discrete Element Method (DEM) will be given. Lastly, data from CFD modelling employed by the authors that is able to predict turbulence attenuation in settling flows with medium sized particles for different concentrations is reported.

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Section: Semi-empirical Modelmentioning

confidence: 99%

Settling Suspensions Flow Modelling: A Review

Silva

Garcı́a

Faia

et al. 2015

KONA

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“…The Eulerian two-fluid model is then used to solve for the thermal and flow conditions in the system. A range of systems can be studied in this manner with the work of Tsuji et al, 9 an early application of this method, the work of Chen et al 10 used to predict the particle flow in pulmonary airways, and the work of Grof et al 11 used a modification to examine agglomerates. Lacking information about the near particle-fluid interfaces including flow, temperature, and species mass fractions and their gradients, events driven by these conditions cannot be studied nor can conditions for which correlations for drag or the heat transfer coefficient are not available or when their use may not be valid.…”

Section: Introductionmentioning

confidence: 99%

Direct simulation of thermally and mechanically coupled particle-laden flow

Florio

2021

SIMULATION

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This work describes a unique technique to simulate continuously and directly coupled fluid flow and moving particles including both mechanical and thermal interactions between the flow, particles, and flow paths. The particles/flow paths are discretized within a computational fluid dynamics flow domain so that the local flow and temperature field conditions surrounding each particle or other solid body are known along with the local temperature distribution within the particle and other solids. Contact conduction between solid bodies including contact resistance, conjugate heat transfer at the fluid–solid interfaces, and even radiation exchanges between solid surfaces and between solid surfaces and the fluid are incorporated in the thermal interactions and a soft collision model simulates the solid body mechanical contact. The ability to capture these local flow and thermal effects removes reliance on correlations for fluid forces and for heat transfer coefficients/exchange and removes restrictions on the flow regime and particle size and volume fraction considered. Larger particle sizes and higher particle concentration conditions can be studied with local effects captured. The method was tested for a range of particle thermal and mechanical properties, driving pressures, and for limited radiation parameters. The results reveal important information about the basic thermal and flow phenomena that cannot be obtained in standard modeling methods and demonstrate the utility of the modeling method. The technique can be applied to examine phenomena dependent on local thermal conditions such as chemical reactions, material property variation, agglomerate formation, and phase change. The methods can also be used as a basis for machine learning algorithm development for flows with large particle counts so that more detailed phenomena can be considered compared to those provided by standard techniques with reduced computational costs compared to those with fully resolved particles in the flow.

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“…6.7 shows the calculation cycle of the coupling and Table 6.1 summarize the data each code calculates and passes to the other. Dorfmann et al, 1997;O'Connor et al, 1997;Cook et al, 2004;Grof et al, 2009;Marrion & Woods, 2009;Quadros et al, 2010;Cheung, 2010;Boutt et al, 2011). The simulations were carried out in a quarter of a circular shaped domain.…”

Section: Numerical Implementation In Ccfd-pfc3dmentioning

confidence: 99%

“…Dorfmann et al, 1997;O'Connor et al, 1997;Cook et al, 2004;Marrion & Woods, 2009;Quadros et al, 2010;Boutt et al, 2011) have been performed using 2D discrete models; these certainly offer qualitative insight, but they produce results which are difficult to relate quantitatively to field or experimental observations. Other studies have used 3D particles, but have focused on small scale phenomena involving only a few particles (Grof et al, 2009) or have radically simplified some aspect of the problem, such as the flow pattern (Cheung, 2010) or the boundary conditions (Zhou et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

A coupled CFD-DEM model for sand production in oil wells

Pera¹

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During the oil recovery a hole is drilled, the sandstone is left unsupported next to the cavity and disloged sand grains can enter the oil recovery system. This process is called sand production and several problems may arise due to that process, as clogging up of the well or damage to the well equipment. The study of sand production process is of paramout importance for safe and economical hydrocarbon production. The majority of numerical models to predict sand production that have been used to date are continuum-based. However, a continuum approach cannot easily capture important features of the sanding problem, such as erosion, and it requires the formulation recognized as a difficult task because of the large number of interactions and non-lineaities intrinsic to the problem. On the other hand, discrete-element based approaches allow a simpler formulation of the problem and a better understanding of some of its features. Discrete Element Methods (DEM) describe more naturally the disaggregation and erosion of sand particles and the fluid-solid interaction. In this research rock behavior has been epresented in DEM using the parallel-bond model (PBM) because it mimics the effect of cement between particles. The study has involved the calibration of the DEM rock model agains real data. Moreover, limitations of the DEM model have been explored and sensitivity analyses examining the effects of the local damping have been performed. The main aim of this research is to improve the understanding of sand production based on a Computational Fluid Dynamics (CFD) -DEM coupling model. CFD-DEM is frequently used for process and chemical engineering problems (Zhu et al., 2007). To simulate the interaction of the particles with the fluid, the solid DEM model is coupled with a fluid model (CFD). A validation of the CFD-DEM model has been carried out in this thesis by performing single particle simulations and analyses of ermeability tests. Simulations of sand production using a omogeneous sandstone analogue and, finally, the simulation of sand production under realistic conditions are presented. En este estudio se ha representado el comportamiento de la roca en DEM utilizando el modelo de enlace paralelo (parallel-bond model - PBM) porque simulat el efecto del cemento entre partículas. El estudio ha implicado la calibración del model en DEM de la roca en comparación don datos reales. Además, las limitaciones del modelo en DEM se ha exploradoy se han llevado a cabo análisis de sensibilidad para examinar los efectos del parámetro de amortiguación (local damping). El principal objetivo de este estudio es mejorar la comprensión de la producción de arena basado en un modelo de acoplamiento con Dinámica de Fluidos Computacional (Computational Fluid Dynamics - CFD) CFD-DEM. El CFD-DEM se usa frecuentemente para problemas de procesos y de ingeniería química. Para simular la interacción de las partículas con el fluido, el modelo sólido DEM es acoplado con el modelo de fluido (CFD). En esta tesis se ha llevado a cabo una validación del modelo CFD-DEM realizando simulaciones con una sola partícula y con análisis de tests de permeabilidad. Se han presentado simulaciones de producción de arena utilizando un modelo análogo a una arenisca homogénea, y finalmente se han presentado simulaciones de producción de arena bajo condiciones realistas. Durante el proceso de extracción de petróleo se perfora un agujero y la arenisca queda sin apoyo junto a la vacidad y los granos de arena sueltos pueden entrar en el sistema de extracción del petróleo. Este proceso se llama producción de arena y pueden producirse varios problemas debido a este proceso, como obstruir el pozo o dañar el equipo instalado en el pozo. El estudio del proceso de producción de arena es de primordial importancia para una producción de hidrocarburo segura y rentable. La mayoría de los modelos numéricos para predecir la producción de arena que se han estado usando hasta el momento están basados en medio continuo. No obstante, un método continuo no puede captar fácilmente algunas características importantes del problema de la producción de arena, como es la erosión, y requiere una formulación que se reconoce como una tarea difícil debido al gran número de interacciones y no-linearidades intrínsecas al problema. Por otro lado, los métodos basados en elementos discretos permiten una formulación más simple del problema y un entendimiento mejor de algunas de sus características. Los Métodos de Elementos Discretos (Discrete Element Methods - DEM) describen de una forma más natural la desagregación y la erosión de partículas de arena y de la interacción sólido-fluido.

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The interaction between small clusters of cohesive particles and laminar flow: Coupled DEM/CFD approach

Cited by 20 publications

References 22 publications

Settling Suspensions Flow Modelling: A Review

Settling Suspensions Flow Modelling: A Review

Direct simulation of thermally and mechanically coupled particle-laden flow

A coupled CFD-DEM model for sand production in oil wells

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