Finding a Balance between Accuracy and Effort For Modeling Biomineralization. (November 2016)

• Record Type: Journal Article
• Authors: Hommel, Johannes; Ebigbo, Anozie; Gerlach, Robin; Cunningham, Alfred B.; Helmig, Rainer; Class, Holger
• Is Part Of: Energy procedia. Volume 97(2016)
• Page Start: 379
• Page End: 386
• Publication Date: 2016-11
• Subjects: Microbially induced calcite precipitation -- numerical modeling -- model simplification -- computational efficiency; Power resources -- Congresses; Power resources -- Periodicals; Power resources; Conference proceedings; Periodicals; 333.7905
• DOI: 10.1016/j.egypro.2016.10.028
• Languages: English
• ISSNs: 1876-6102

Abstract

Abstract: 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.