Finding a Balance between Accuracy and Effort For Modeling Biomineralization | Zendy

Johannes Hommel | Zendy; Anozie Ebigbo | Zendy; Robin Gerlach | Zendy; Alfred B. Cunningham | Zendy; Rainer Helmig | Zendy; Holger Class | Zendy

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Finding a Balance between Accuracy and Effort For Modeling Biomineralization

Author(s) -

Johannes Hommel,

Anozie Ebigbo,

Robin Gerlach,

Alfred B. Cunningham,

Rainer Helmig,

Holger Class

Publication year - 2016

Publication title -

energy procedia

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.474

H-Index - 81

ISSN - 1876-6102

DOI - 10.1016/j.egypro.2016.10.028

Subject(s) - computation , reliability (semiconductor) , calcite , scale (ratio) , moment (physics) , computer science , engineering , mathematical optimization , mathematics , algorithm , geology , physics , mineralogy , classical mechanics , power (physics) , quantum mechanics

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

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