Pore-scale network modeling of microbially induced calcium carbonate precipitation: Insight into scale dependence of biogeochemical reaction rates

Publication date

2016-11

Authors

Qin, Chao ZhongISNI 0000000419497803
Hassanizadeh, S. M.ISNI 0000000032572389
Ebigbo, Anozie

Editors

Advisors

Supervisors

Document Type

Article
Open Access logo

License

taverne

Abstract

The engineering of microbially induced calcium carbonate precipitation (MICP) has attracted much attention in a number of applications, such as sealing of CO2 leakage pathways, soil stabilization, and subsurface remediation of radionuclides and toxic metals. The goal of this work is to gain insight into pore-scale processes of MICP and scale dependence of biogeochemical reaction rates. This will help us develop efficient field-scale MICP models. In this work, we have developed a comprehensive pore-network model for MICP, with geochemical speciation calculated by the open-source PHREEQC module. A numerical pseudo-3-D micromodel as the computational domain was generated by a novel pore-network generation method. We modeled a three-stage process in the engineering of MICP including the growth of biofilm, the injection of calcium-rich medium, and the precipitation of calcium carbonate. A number of test cases were conducted to illustrate how calcite precipitation was influenced by different operating conditions. In addition, we studied the possibility of reducing the computational effort by simplifying geochemical calculations. Finally, the effect of mass transfer limitation of possible carbonate ions in a pore element on calcite precipitation was explored.

Keywords

microbially induced calcite precipitation, numerical modeling, PHREEQC, pore-network model, upscaling, Taverne, Water Science and Technology

Citation

Qin, C-Z, Hassanizadeh, S M & Ebigbo, A 2016, 'Pore-scale network modeling of microbially induced calcium carbonate precipitation : Insight into scale dependence of biogeochemical reaction rates', Water Resources Research, vol. 52, no. 11, pp. 8794-8810. https://doi.org/10.1002/2016WR019128