Smoothed particle hydrodynamics method for fluid flows, towards industrial applications: Motivations, current state, and challenges

Shadloo, Mostafa Safdari; Oger, G.; Touzé, David Le

doi:10.1016/j.compfluid.2016.05.029

Cited by 340 publications

(155 citation statements)

References 293 publications

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“…These include the promising lattice Boltzmann method (Shan and Chen 1993;Martys and Chen 1996;Chen and Doolen 1998;Guo and Zhao 2000;Kang et al, 2002;Pan et al, 2006;Hao and Cheng 2010;Aidun and Clausen 2010;Zhang et al, 2014;Wopara 2016) and smoothed particle hydrodynamics (Zhu and Fox 2002;Tartakovsky and Meakin 2006;Tartakovsky et al, 2007a;Shadloo et al, 2016;Zhang et al, 2017). The particle methods, while suitable for pore-scale analyses, become inefficient at the meso-scale, e.g.…”

Section: Significance Of Pore-network Modelingmentioning

confidence: 99%

Review of studies on pore-network modeling of wettability effects on waterflood oil recovery

Wopara¹,

Iyuke²

2018

J. Petroleum Gas Eng.

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Waterflooding has become by far the most widely applied method for enhanced oil recovery, accounting for more than half of oil production worldwide. Changes in the wettability of a porous medium and the chemical composition of the wetting fluid result to changes in oil recovery. In recent time, pore-network modeling has been used increasingly to study the effect of wettability on waterflood oil recovery and multiphase flow properties in different types of petroleum reservoirs. Starting from single pore models of fluid arrangements, computations of relative permeability, interfacial area, mass dissolution rate and many other physical properties have been made. Using realistic representations of the pore spaces of various rock systems, it is now possible to predict many petro-physical properties that govern fluid flow and transport in petroleum reservoir rock systems. Such properties include porosity, permeability, waterflood relative permeability, capillary pressure, phase saturations, and fluid transfer coefficients. This review looks briefly into some of the successes made so far on pore network modeling, with an emphasis on models of wettability trends and oil recovery by waterflooding.

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Section: Significance Of Pore-network Modelingmentioning

confidence: 99%

Review of studies on pore-network modeling of wettability effects on waterflood oil recovery

Wopara¹,

Iyuke²

2018

J. Petroleum Gas Eng.

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“…Diffuse fluids include spray, foam and bubble [1,2]. They are widely presented in metallurgical engineering, industry analysis, virtual reality game, and many other fields.…”

Section: Introductionmentioning

confidence: 99%

A Symmetric Particle-Based Simulation Scheme towards Large Scale Diffuse Fluids

et al. 2018

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We present a symmetric particle simulation scheme for diffuse fluids based on the Lagrangian Smoothed Particle Hydrodynamics (SPH) model. In our method, the generation of diffuse particles is determined by the entropy of fluid particles, and it is calculated by the velocity difference and kinetic energy. Diffuse particles are generated near the qualified diffuse particle emitters whose diffuse material generation rate is greater than zero. Our method fits the laws of physics better, as it abandons the common practice of adding diffuse materials at the crest empirically. The coupling between diffuse materials and fluid is a post-processing step achieved by the velocity field, which enables the avoiding of the time-consuming process of cross finding neighbors. The influence weights of the fluid particles are assigned based on the degree of coupling. Therefore, it improved the accuracy of the diffuse particle position and made the simulation results more realistic. The approach is appropriate for large scale diffuse fluid, as it can be easily integrated in existing SPH simulation methods and the computational overhead is negligible.

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“…Take the shear thinning non-Newtonian fluid for example, when it flows with low velocity, its viscosity becomes higher, and the fluid starts to exhibit properties of solids; while as it flows with high velocity, its viscosity gets smaller, and the non-Newtonian fluid exhibits liquid properties. In recent years, smoothed particle hydrodynamics (SPHs) [2] has become an important Lagrangian method for industrial flow simulation [3] and computational fluid dynamics [4,5]. Because of the symmetry of SPH method with respect to translations, rotations, and time, the exact conservation of momentum, angular momentum and energy are guaranteed [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

A Symmetry Particle Method towards Implicit Non‐Newtonian Fluids

et al. 2017

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Abstract:In this paper, a symmetry particle method, the smoothed particle hydrodynamics (SPHs) method, is extended to deal with non-Newtonian fluids. First, the viscous liquid is modeled by a non-Newtonian fluid flow and the variable viscosity under shear stress is determined by the Carreau-Yasuda model. Then a pressure correction method is proposed, by correcting density error with individual stiffness parameters for each particle, to ensure the incompressibility of fluid. Finally, an implicit method is used to improve efficiency and stability. It is found that the non-Newtonian behavior can be well displayed in all cases, and the proposed SPH algorithm is stable and efficient.

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Smoothed particle hydrodynamics method for fluid flows, towards industrial applications: Motivations, current state, and challenges

Cited by 340 publications

References 293 publications

Review of studies on pore-network modeling of wettability effects on waterflood oil recovery

Review of studies on pore-network modeling of wettability effects on waterflood oil recovery

A Symmetric Particle-Based Simulation Scheme towards Large Scale Diffuse Fluids

A Symmetry Particle Method towards Implicit Non‐Newtonian Fluids

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