Rocky Mountain (66th Annual) and Cordilleran (110th Annual) Joint Meeting (19–21 May 2014)

Paper No. 10
Presentation Time: 4:25 PM

GEOCHEMICAL MODELING OF URANIUM IN-SITU RECOVERY (ISR) POST-MINING SITE CONDITIONS


TRUAX, Ryan, Department of Civil and Environmental Engineering, South Dakota School of Mines and Technology, 501 East Saint Joseph Street, Rapid City, SD 57701, STONE, James, Department of Civil and Environmental Engineering, South Dakota School of Mines and Technology, 501 E. Saint Joseph St, Rapid City, SD 57701, BORCH, Thomas, Dept of Soil and Crop Sciences, Colorado State University, Fort Collins, CO 80523-1170, JOHNSON, Thomas E., Dept. of Environmental and Radiological Health Sciences, Colorado State University, 1618 Campus Delivery, Fort Collins, CO 80532 and JOHNSON, Raymond H., S.M. Stoller Corporation, Contractor to the Department of Energy Office of Legacy Management, 2597 Legacy Way, Grand Junction, CO 81503, ryan.truax@mines.sdsmt.edu

In-situ recovery (ISR) uranium mine restoration is generally based upon a return of the site to pre-mining baseline conditions. Uranium ISR sites typically exhibit varying degrees of natural attenuation potential that may influence the degree of restoration required. Surface complexation modeling provides useful insight into the geochemical restoration potential of a mined aquifer, providing stakeholders with a better understanding of potential restoration requirements and challenges for specific pre- and post-mining geochemical conditions. This presentation will summarize findings from our 1-D uranium transport surface complexation modelling efforts for an existing ISR mine. Batch adsorption isotherm experiments were conducted using post-mining/pre-reclamation, and post-mining/post-reclamation soil core samples, site upgradient groundwater water, and completed using varying pH and uranium concentrations. Isotherm filtrates were analyzed by ICP-OES, and results used to determine soil attenuation capacity using a combination of PHREEQC for geochemical and transport calculations, and PEST for parameter fitting. A general composite, site-specific mineral assemblage approach was used the surface complexation estimates. Forward model runs were completed to predict the transport of uranium plumes during various mine restoration geochemical conditions.