Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen: 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 GrößeFormat 
applsci-10-04538.pdf517,88 kBAdobe PDFÖffnen/Anzeigen


Alle Ressourcen in diesem Repositorium sind urheberrechtlich geschützt.