Finding a Balance between Accuracy and Effort For Modeling Biomineralization

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 us...

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Bibliographic Details
Published in:Energy procedia 2016-11, Vol.97, p.379-386
Main Authors: Hommel, Johannes, Ebigbo, Anozie, Gerlach, Robin, Cunningham, Alfred B., Helmig, Rainer, Class, Holger
Format: Article
Language:English
Subjects:
computational efficiency
Microbially induced calcite precipitation
model simplification
numerical modeling
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Summary: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.
ISSN:1876-6102
1876-6102
DOI:10.1016/j.egypro.2016.10.028