Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-10903
Authors: Hommel, Johannes
Akyel, Arda
Frieling, Zachary
Phillips, Adrienne J.
Gerlach, Robin
Cunningham, Alfred B.
Class, Holger
Title: A numerical model for enzymatically induced calcium carbonate precipitation
Issue Date: 2020
metadata.ubs.publikation.typ: Zeitschriftenartikel
metadata.ubs.publikation.seiten: 30
metadata.ubs.publikation.source: Applied sciences 10 (2020), No. 4538
URI: http://elib.uni-stuttgart.de/handle/11682/10920
http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-109206
http://dx.doi.org/10.18419/opus-10903
ISSN: 2076-3417
Abstract: 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.
Appears in Collections:02 Fakultät Bau- und Umweltingenieurwissenschaften

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