An improved lattice Boltzmann model for multicomponent reactive transport in porous media at the pore scale

By Qinjun Kang, P. Lichtner, Dongxiao Zhang. 2007

240 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/de44c0923ddd37b3ffdd82607c423917ea52760f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Qing Liu
2. Qing Li
3. Qinjun Kang
4. Wen-Quan Tao
5. Ya-Ling He
6. P. Lichtner
7. Li Chen
8. Albert J. Valocchi

In Computational Mechanics

1. Qing Liu
2. Qinjun Kang
3. Qing Li
4. Wen-Quan Tao
5. Li Chen
6. Ya-Ling He
7. P. Lichtner
8. Albert J. Valocchi

Citations in the corpus

• Upscaling pore‐scale reactive transport equations using a multiscale continuum formulation (2007, methodology): “[20] Two different forms of the LB equations are used for flow and transport referred to as D2Q9 and D2Q4 for twodimensional nine speed and four speed velocity formulations, respectively [Kang et al., 2007], resulting in different expressions for the equilibrium distributions fs eq and gsj , and vel”
• A multiple-relaxation-time lattice Boltzmann model for convection heat transfer in porous media (2013, methodology): “In the pore scale method [13-15], the standard LB model is used to simulate the fluid flows in the pores, and the interaction between the solid and fluid phases is realized by using the no-slip bounce-back rule.”
• Pore‐scale simulation of mixing‐induced calcium carbonate precipitation and dissolution in a microfluidic pore network (2012, background): “These modeling studies characterized qualitative features of reactive transport in a simple numerical domain over a wide range of dimensionless Peclet (Pe) and Damköhler (Da) numbers [Kang et al., 2006, 2007; Tartakovsky et al., 2007, 2008].”
• Challenges in modeling unstable two‐phase flow experiments in porous micromodels (2014, background): “Numerical simulations of pore-scale processes provide tools that can help to define and parameterize macroscopic quantities so that they correctly account for pore-scale heterogeneity [Kang et al., 2007].”
• Pore-scale simulation of multicomponent multiphase reactive transport with dissolution and precipitation (2014, methodology): “The accuracy and efficiency of the reduced D2Q5 model has been confirmed in many studies [4, 36, 43, 44].”