A revised model for microbially induced calcite precipitation: Improvements and new insights based on recent experiments

Hommel, Johannes; Lauchnor, Ellen; Phillips, Adrienne; Gerlach, Robin; Cunningham, Alfred B.; Helmig, Rainer; Ebigbo, Anozie; Class, Holger

doi:10.1002/2014WR016503

A revised model for microbially induced calcite precipitation: Improvements and new insights based on recent experiments

Journal Article · Mon May 25 00:00:00 EDT 2015 · Water Resources Research

DOI:https://doi.org/10.1002/2014WR016503· OSTI ID:1402191

Hommel, Johannes ^[1]; Lauchnor, Ellen ^[2]; Phillips, Adrienne ^[2]; Gerlach, Robin ^[2]; Cunningham, Alfred B. ^[2]; Helmig, Rainer ^[1]; Ebigbo, Anozie ^[3]; Class, Holger ^[1]

Department of Hydromechanics and Modelling of Hydrosystems University of Stuttgart Stuttgart Germany
Center for Biofilm Engineering, Montana State University Bozeman Montana USA
Department of Earth Science and Engineering Imperial College London London UK

Abstract

The model for microbially induced calcite precipitation (MICP) published by Ebigbo et al. (2012) has been improved based on new insights obtained from experiments and model calibration. The challenge in constructing a predictive model for permeability reduction in the underground with MICP is the quantification of the complex interaction between flow, transport, biofilm growth, and reaction kinetics. New data from Lauchnor et al. (2015) on whole‐cell ureolysis kinetics from batch experiments were incorporated into the model, which has allowed for a more precise quantification of the relevant parameters as well as a simplification of the reaction kinetics in the equations of the model. Further, the model has been calibrated objectively by inverse modeling using quasi‐1D column experiments and a radial flow experiment. From the postprocessing of the inverse modeling, a comprehensive sensitivity analysis has been performed with focus on the model input parameters that were fitted in the course of the model calibration. It reveals that calcite precipitation and concentrations of and are particularly sensitive to parameters associated with the ureolysis rate and the attachment behavior of biomass. Based on the determined sensitivities and the ranges of values for the estimated parameters in the inversion, it is possible to identify focal areas where further research can have a high impact toward improving the understanding and engineering of MICP.

View Accepted Manuscript (Publisher)

Sponsoring Organization:: USDOE

Grant/Contract Number:: SC0010099; FE0004478; FE0009599

OSTI ID:: 1402191

Journal Information:: Water Resources Research, Journal Name: Water Resources Research Journal Issue: 5 Vol. 51; ISSN 0043-1397

Publisher:: American Geophysical Union (AGU)Copyright Statement

Country of Publication:: United States

Language:: English

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