Literature DB >> 29054787

Lattice Boltzmann simulations of liquid CO2 displacing water in a 2D heterogeneous micromodel at reservoir pressure conditions.

Yu Chen1, Yaofa Li2, Albert J Valocchi3, Kenneth T Christensen4.   

Abstract

We employed the color-fluid lattice Boltzmann multiphase model to simulate liquid CO2 displacing water documented in experiments in a 2D heterogeneous micromodel at reservoir pressure conditions. The main purpose is to investigate whether lattice Boltzmann simulation can reproduce the CO2 invasion patterns observed in these experiments for a range of capillary numbers. Although the viscosity ratio used in the simulation matches the experimental conditions, the viscosity of the fluids in the simulation is higher than that of the actual fluids used in the experiments. Doing so is required to enhance numerical stability, and is a common strategy employed in the literature when using the lattice Boltzmann method to simulate CO2 displacing water. The simulations reproduce qualitatively similar trends of changes in invasion patterns as the capillary number is increased. However, the development of secondary CO2 pathways, a key feature of the invasion patterns in the simulations and experiments, is found to occur at a much higher capillary number in the simulations compared with the experiments. Additional numerical simulations were conducted to investigate the effect of the absolute value of viscosity on the invasion patterns while maintaining the viscosity ratio and capillary number fixed. These results indicate that the use of a high viscosity (which significantly reduces the inertial effect in the simulations) suppresses the development of secondary CO2 pathways, leading to a different fluid distribution compared with corresponding experiments at the same capillary number. Therefore, inertial effects are not negligible in drainage process with liquid CO2 and water despite the low Reynolds number based on the average velocity, as the local velocity can be much higher due to Haines jump events. These higher velocities, coupled with the low viscosity of CO2, further amplifies the inertial effect. Therefore, we conclude that caution should be taken when using proxy fluids that only rely on the capillary number and viscosity ratio in both experiment and simulation.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CO(2) sequestration; Flow in porous media; Lattice Boltzmann method; Micromodel experiment

Mesh:

Substances:

Year:  2017        PMID: 29054787     DOI: 10.1016/j.jconhyd.2017.09.005

Source DB:  PubMed          Journal:  J Contam Hydrol        ISSN: 0169-7722            Impact factor:   3.188


  5 in total

1.  Comprehensive comparison of pore-scale models for multiphase flow in porous media.

Authors:  Benzhong Zhao; Christopher W MacMinn; Bauyrzhan K Primkulov; Yu Chen; Albert J Valocchi; Jianlin Zhao; Qinjun Kang; Kelsey Bruning; James E McClure; Cass T Miller; Abbas Fakhari; Diogo Bolster; Thomas Hiller; Martin Brinkmann; Luis Cueto-Felgueroso; Daniel A Cogswell; Rahul Verma; Maša Prodanović; Julien Maes; Sebastian Geiger; Morten Vassvik; Alex Hansen; Enrico Segre; Ran Holtzman; Zhibing Yang; Chao Yuan; Bruno Chareyre; Ruben Juanes
Journal:  Proc Natl Acad Sci U S A       Date:  2019-06-21       Impact factor: 11.205

2.  Prediction of immiscible two-phase flow properties in a two-dimensional Berea sandstone using the pore-scale lattice Boltzmann simulation.

Authors:  Meng Xu; Haihu Liu
Journal:  Eur Phys J E Soft Matter       Date:  2018-10-18       Impact factor: 1.890

3.  Study on the Ways to Improve the CO2-H2O Displacement Efficiency in Heterogeneous Porous Media by Lattice Boltzmann Simulation.

Authors:  Ling Ren; Qi Liu; Yang Ni; Yucong Xia; Jianguo Chen
Journal:  ACS Omega       Date:  2022-06-09

4.  Preferential Paths of Air-water Two-phase Flow in Porous Structures with Special Consideration of Channel Thickness Effects.

Authors:  Jinhui Liu; Yang Ju; Yingqi Zhang; Wenbo Gong
Journal:  Sci Rep       Date:  2019-11-07       Impact factor: 4.379

5.  Modeling and scale-bridging using machine learning: nanoconfinement effects in porous media.

Authors:  Nicholas Lubbers; Animesh Agarwal; Yu Chen; Soyoun Son; Mohamed Mehana; Qinjun Kang; Satish Karra; Christoph Junghans; Timothy C Germann; Hari S Viswanathan
Journal:  Sci Rep       Date:  2020-08-07       Impact factor: 4.996

  5 in total

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