Simulation of residual oil displacement in a sinusoidal channel with the lattice Boltzmann method

Otomo, Hiroshi; Fan, Hongli; Hazlett, Randy; Li, Yong; Staroselsky, Ilya; Zhang, Raoyang; Chen, Hudong

doi:10.1016/j.crme.2015.04.005

Cited by 17 publications

(16 citation statements)

References 38 publications

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“…By improvements of the lattice condition dependence on θ in [16], accurate θ can be easily measured. Using numerical results, we formulate θ as a function of ν 1 , ν 2 , and ρ s , namely θ = L (ν 1 , ν 2 , ρ s ).…”

Section: A Static Slug Between Flat Platesmentioning

confidence: 99%

Multi-component lattice Boltzmann models for accurate simulation of flows with wide viscosity variation

Otomo¹,

Crouse²,

Dressler³

et al. 2018

Computers & Fluids

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Multi-component lattice Boltzmann models operating in a wide range of fluid viscosity values are developed and examined. The algorithm is constructed with the goal to enable engineering applications without sacrificing simplicity and computational efficiency present in the original Shan-Chen model and D3Q19 lattice scheme. Boundary conditions for modeling friction and wettability effects are developed for discrete representation of surfaces within a volumetric approach, which results in accurate flow simulation in complex geometry. Numerical validation of our models includes comparison to previous studies and analytical solutions. The results are shown to be robust and accurate up to an extremely small kinematic viscosity value of 0.0017 lattice units and the extremely high ratio of components' kinematic viscosities of hundreds and up to a thousand. This improvement is significant compared to previous studies with Shan-Chen model [1,23,24], in which reasonable accuracy was kept only at the viscosity ratio up to 10 in the Poiseuille flow and the fingering simulation.

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Section: A Static Slug Between Flat Platesmentioning

confidence: 99%

Multi-component lattice Boltzmann models for accurate simulation of flows with wide viscosity variation

Otomo¹,

Crouse²,

Dressler³

et al. 2018

Computers & Fluids

Self Cite

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“…Here τ α is the relaxation time of the fluid component α that is related to the kinematic viscosity of that component ν α [12]. f neq,α i is the regularized non-equilibrium distribution function,…”

Section: High Accuracy Bulk Solvermentioning

confidence: 99%

“…The correspondence between ρ α s and the contact angle can be defined by simulating some test cases, after which it can be used for general cases. Although this wettability model works well for certain cases [12], it could sometimes generate an artificial thin film along a wetting wall. This film originates from slugs or droplets on the wall, and this numerical artifact is obviously undesirable because large amounts of mass may artificially diffuse and escape from the inlet or outlet boundary.…”

Section: Wall Boundary Conditionmentioning

confidence: 99%

Studies of accurate multi-component lattice Boltzmann models on benchmark cases required for engineering applications

Otomo¹,

Fan²,

Li³

et al. 2016

Journal of Computational Science

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We present recent developments in lattice Boltzmann modeling for multi-component flows, implemented on the platform of a general purpose, arbitrary geometry solver PowerFLOW. Presented benchmark cases demonstrate the method's accuracy and robustness necessary for handling real world engineering applications at practical resolution and computational cost. The key requirements for such approach are that the relevant physical properties and flow characteristics do not strongly depend on numerics. In particular, the strength of surface tension obtained using our new approach is independent of viscosity and resolution, while the spurious currents are significantly suppressed. Using a much improved surface wetting model, undesirable numerical artifacts including thin film and artificial droplet movement on inclined wall are significantly reduced.

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“…It was found that, in comparison with the BGK model, the RLB model offers an improvement in both stability and accuracy without adding any substantial complication. Later, the RLB model was also demonstrated to perform very well in the multicomponent interparticle-potential LBM [80]. In view of the advantages of RLB model, it is worthwhile to extend it to the present color-gradient LBM and test its effectiveness in the simulation of axisymmetric multicomponent flows with high viscosity ratio.…”

Section: Oscillation Of a Viscous Dropletmentioning

confidence: 99%

A lattice Boltzmann method for axisymmetric multicomponent flows with high viscosity ratio

Liu

et al. 2016

Journal of Computational Physics

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Simulation of residual oil displacement in a sinusoidal channel with the lattice Boltzmann method

Cited by 17 publications

References 38 publications

Multi-component lattice Boltzmann models for accurate simulation of flows with wide viscosity variation

Multi-component lattice Boltzmann models for accurate simulation of flows with wide viscosity variation

Studies of accurate multi-component lattice Boltzmann models on benchmark cases required for engineering applications

A lattice Boltzmann method for axisymmetric multicomponent flows with high viscosity ratio

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