Hommel, JohannesEbigbo, AnozieGerlach, RobinCunningham, Alfred B.Helmig, RainerClass, Holger2017-06-192017-06-192016-11Hommel J, Ebigbo A, Gerlach R, Cunningham AB, Helmig R, Class H, “Finding a Balance between Accuracy and Effort For Modeling Biomineralization,” Energy Procedia, 2016 November; 97, 379-386. doi: 10.1016/j.egypro.2016.10.028.1876-6102https://scholarworks.montana.edu/handle/1/13069Microbially 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.CC BY-NC-ND 4.0http://creativecommons.org/licenses/by-nc-nd/4.0/legalcodeArticle