Simulation of dissolution and precipitation in porous media

By Qinjun Kang, Dongxiao Zhang, Shiyi Chen. 2003

202 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/fbd441e0cac2102f8703b6ed6d36a3fcc713cf97

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In Biomedical Engineering

In Computational Mechanics

Citations in the corpus

A lattice Boltzmann algorithm for fluid–solid conjugate heat transfer (2007, methodology): “Lattice Boltzmann method, a mesoscopic statistics based method, has been used to model the flow behavior in complex geometries due to its easy implements for complex fluid– solid boundary conditions [13–18].”
Pore Scale Modeling of Reactive Transport Involved in Geologic CO2 Sequestration (2010, background): “Other goals are to identify key parameters and physiochemical pro cesses that control macroscopic phenomena, to validate continuum descriptions, and to determine the most appropriate form of the continuum formulation (single, dual, multiple continua) that can best approximate the pore-scale results”
Pore-scale simulation of multicomponent multiphase reactive transport with dissolution and precipitation (2014, methodology): “The correct incorporation of the forcing terms into the LBM is an important issue.”
A smoothed particle hydrodynamics model for reactive transport and mineral precipitation in porous and fractured porous media (2007, background): “…Succi, 2001; Pan et al., 2004], including reactive transport simulations [Flekkoy, 1993; Oxaal et al., 1994; Stockman et al., 1997; Grubert, 1997; Kang et al., 2003; Kang and Lichtner, 2005; Kang et al., 2006] due to the simplicity of implementation and rigorous conservation of mass and momentum.”
Pore‐scale simulation of mixing‐induced calcium carbonate precipitation and dissolution in a microfluidic pore network (2012, methodology): “…number of pore scale models for flow and reactive transport relevant to geological storage of CO2 have been developed using lattice Boltzmann (LB) [Kang et al., 2003, 2006, 2010], smooth particle hydrodynamics (SPH) [Tartakovsky et al., 2007, 2008, 2009], direct numerical simulation [Flukiger and…”
Lattice Boltzmann modeling of the effective thermal conductivity for fibrous materials (2007, background): “Due to its easy implementations of multiple interparticle interactions and complex geometry boundary conditions [36-38], the LBM has gained several successes in predicting the effective thermal conductivities of conventional porous media [31, 39].”
An improved lattice Boltzmann model for multicomponent reactive transport in porous media at the pore scale (2007, methodology): “…approaches under different simplifying conditions [Daccord, 1987; Hoefner and Fogler, 1988;Wells et al., 1991; Janecky et al., 1992; Salles et al., 1993; Kelemen et al., 1995; Bekri et al., 1995, 1997;Fredd and Fogler, 1998;Dijk and Berkowitz, 1998; Kang et al., 2002, 2003, 2004, 2005, 2006].”