Bio-geochemical reactive transport modeling of microbial induced calcite precipitation to predict the treatment of sand in one-dimensional flow

Autor:	Brian C. Martinez, Jason T. DeJong, Timothy R. Ginn
Rok vydání:	2014
Předmět:	Reaction rate Calcite chemistry.chemical_compound Aqueous solution chemistry Mineralogy Environmental science Mineral chemistry Ammonia volatilization from urea Geotechnical Engineering and Engineering Geology PH increase Cementation (geology) Computer Science Applications
Zdroj:	Computers and Geotechnics. 58:1-13
ISSN:	0266-352X
DOI:	10.1016/j.compgeo.2014.01.013
Popis:	Microbial induced calcite precipitation (MICP) has been well studied to date in the laboratory as a viable alternative soil improvement technique that harnesses a natural bacterial process to induce cementation. Specifically, MICP utilizes the microbial process of hydrolysis of urea to induce pH increase leading to calcite precipitation. The study presented herein demonstrates the utility of a simple bio-geochemical reactive transport model to predict MICP in one-dimensional column experiments. The mathematical model was originally developed in the framework of the TOUGHREACT code to include kinetically controlled reaction rates for urea hydrolysis and calcite precipitation. Inverse modeling, via UCODE-2005, is utilized to calibrate and verify the model to experimental data including aqueous and mineral chemistry. Results indicate good agreement between data and simulated results for capturing the trends and magnitudes of a variety of MICP treatment schemes in half meter, one-dimensional flow columns. A design procedure is presented for predicting MICP in one-dimensional flow by sequentially coupling UCODE-2005 with TOUGHREACT.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0d78288933692d957410e6ad9497be7c https://doi.org/10.1016/j.compgeo.2014.01.013 Zobrazit plný text záznamu Full Text from ScienceDirect