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http://dx.doi.org/10.18419/opus-10903
Autor(en): | Hommel, Johannes Akyel, Arda Frieling, Zachary Phillips, Adrienne J. Gerlach, Robin Cunningham, Alfred B. Class, Holger |
Titel: | A numerical model for enzymatically induced calcium carbonate precipitation |
Erscheinungsdatum: | 2020 |
Dokumentart: | Zeitschriftenartikel |
Seiten: | 30 |
Erschienen in: | Applied sciences 10 (2020), No. 4538 |
URI: | http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-109206 http://elib.uni-stuttgart.de/handle/11682/10920 http://dx.doi.org/10.18419/opus-10903 |
ISSN: | 2076-3417 |
Zusammenfassung: | Enzymatically induced calcium carbonate precipitation (EICP) is an emerging engineered mineralization method similar to others such as microbially induced calcium carbonate precipitation (MICP). EICP is advantageous compared to MICP as the enzyme is still active at conditions where microbes, e.g., Sporosarcina pasteurii, commonly used for MICP, cannot grow. Especially, EICP expands the applicability of ureolysis-induced calcium carbonate mineral precipitation to higher temperatures, enabling its use in leakage mitigation deeper in the subsurface than previously thought to be possible with MICP. A new conceptual and numerical model for EICP is presented. The model was calibrated and validated using quasi-1D column experiments designed to provide the necessary data for model calibration and can now be used to assess the potential of EICP applications for leakage mitigation and other subsurface modifications. |
Enthalten in den Sammlungen: | 02 Fakultät Bau- und Umweltingenieurwissenschaften |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
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applsci-10-04538.pdf | 517,88 kB | Adobe PDF | Öffnen/Anzeigen |
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