Biofilm growth in porous media: Experiments,computational modeling at the porescale,and upscaling |
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| Institution: | 1. Department of Mathematics, Oregon State University, USA;2. Interdisciplinary Centre for Modeling, University of Warsaw, Poland;3. Brookhaven National Laboratory, USA;4. Helmholtz Centre for Environmental Research, Germany;5. Chemical, Biological, and Environmental Engineering, Oregon State University, USA;1. Department of Civil & Environmental Engineering & Earth Sciences, University of Notre Dame, United States;2. Dipartimento di Ingegneria Civile ed Ambientale, Politecnico di Milano, Italy;3. Dipartimento di Energia, Politecnico di Milano, Italy;1. Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI, United States;2. Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, United States |
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| Abstract: | Biofilm growth changes many physical properties of porous media such as porosity, permeability and mass transport parameters. The growth depends on various environmental conditions, and in particular, on flow rates. Modeling the evolution of such properties is difficult both at the porescale where the phase morphology can be distinguished, as well as during upscaling to the corescale effective properties. Experimental data on biofilm growth is also limited because its collection can interfere with the growth, while imaging itself presents challenges.In this paper we combine insight from imaging, experiments, and numerical simulations and visualization. The experimental dataset is based on glass beads domain inoculated by biomass which is subjected to various flow conditions promoting the growth of biomass and the appearance of a biofilm phase. The domain is imaged and the imaging data is used directly by a computational model for flow and transport. The results of the computational flow model are upscaled to produce conductivities which compare well with the experimentally obtained hydraulic properties of the medium. The flow model is also coupled to a newly developed biomass–nutrient growth model, and the model reproduces morphologies qualitatively similar to those observed in the experiment. |
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