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| Titel |
Estimation of unknown parameters to improve modeling of Microbially Induced Calcite Precipitation |
| VerfasserIn |
Johannes Hommel, Alfred B. Cunningham, Rainer Helmig, Anozie Ebigbo, Holger Class |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250100455
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| Publikation (Nr.) |
 EGU/EGU2014-16424.pdf |
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| Zusammenfassung |
| One of the key issues of underground gas storage is the long-term security of the storage site.
Amongst the different storage mechanisms, cap-rock integrity is crucial for preventing
leakage of the stored gas due to buoyancy into shallower aquifers or, ultimately, the
atmosphere. This leakage would reduce the efficiency of underground gas storage and
pose a threat to the environment. Ureolysis-driven, Microbially Induced Calcite
Precipitation (MICP) is one of the technologies in the current focus of current research
aiming at mitigation of potential leakage by sealing high-permeability zones in cap
rocks.
Previously, a numerical model, capable of simulating two-phase flow and MICP
processes, was developed and validated against MICP experiments [1]. The model has been
improved based on new experimental findings of our collaborators at MSU with respect to the
microbial ureolysis kinetics as well as the impact of biomineralization on permeability. The
number of fitting parameters used in the model has been reduced and the remaining ones have
been refitted by inverse modeling. With the improved implementation of those processes
relevant for modeling MICP, simulation results are expected to better match the
observed features of a variety of MICP experiments in different porous media, flow
regimes and under varying injection schemes conducted by our collaborators at
MSU.
References
[1] A. Ebigbo, A.J. Phillips, R. Gerlach, R. Helmig, A.B. Cunningham, H. Class, L.H.
Spangler. Darcy-scale modeling of microbially induced carbonate mineral precipitation in
sand columns. Water Resources Research, 48, (2012) |
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