Finding a Balance between Accuracy and Effort For Modeling Biomineralization
- Hommel, Johannes [ Department of Hydromechanics and Modelling of Hydrosystems, University of Stuttgart, Pfaffenwaldring 61, 70569 Stuttgart, Germany ]
- Ebigbo, Anozie [ Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, UK ]
- Gerlach, Robin [ Montana State University: Center for Biofilm Engineering ] [ Montana State University: Chemical & Biological Engineering ]
- Cunningham, Alfred B [ Montana State University: Center for Biofilm Engineering ] [ Montana State University: Civil Engineering ]
- Helmig, Rainer [ Department of Hydromechanics and Modelling of Hydrosystems, University of Stuttgart, Pfaffenwaldring 61, 70569 Stuttgart, Germany ]
- Class, Holger [ Department of Hydromechanics and Modelling of Hydrosystems, University of Stuttgart, Pfaffenwaldring 61, 70569 Stuttgart, Germany ]
Microbially induced calcite precipitation (MICP) is a technology aiming at the mitigation of potential leakage from underground gas storage sites. A numerical model for MICP was previously developed and validated. The model complexity leads to high computation times, prohibiting at the moment the use of the model for designing field-scale MICP applications. This study investigates savings of the computational time by well-chosen model simplifications. Additionally, this approach is motivated by the high uncertainty of relevant input-parameters. Excessively detailed equations are unnecessary burdens to the MICP model, whose reliability is influenced by the input-parameter uncertainty.