Diavik Waste Rock Project: Geostatistical Analysis of Sulfur, Carbon, and Hydraulic Conductivity Distribution in a Large-Scale Experimental Waste Rock Pile

Minerals

David C. Sego¹  David R. Barsi¹  Richard T. Amos²  David W. Blowes³  David Wilson³  Lianna J. D. Smith³  Colleen Atherton³  Leslie Smith⁴ 

[1]Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada

[2]Department of Earth Sciences, Carleton University, Ottawa, ON K1S 5B6, Canada

[3]Department of Earth and Environmental Sciences, University of Waterloo, Waterloo, ON N2L 3G1, Canada

[4]Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia, Vancouver, BC V6T 1Z4, Canada

关键词: geostatistics;    heterogeneity;    scale-up;    waste rock;   

DOI  :  10.3390/min12050577

来源: DOAJ

【 摘 要 】

One of the large-scale field waste rock experiments (test piles) conducted as part of the Diavik Waste Rock Project was deconstructed, providing a spatially located set of geochemical, mineralogical, and particle-size distribution samples. Geostatistical analyses were conducted for sulfur and carbon content and saturated hydraulic conductivity, which affect the geochemical evolution of waste rock, to investigate the spatial dependence of these parameters. Analyses included population statistics, experimental semi-variogram estimation, and theoretical semi-variogram fitting. Population statistics were calculated for additional data sets from samples collected during the construction of the test piles. The population statistical analyses indicated that log-normal distribution provided the best fit for all investigated data sets. Experimental semi-variograms were estimated for the spatially located data set (test pile deconstruction) using the classical estimator, and theoretical semi-variograms were fitted. This investigation showed that the spatial distribution of sulfur, carbon, and hydraulic conductivity within the core of the test-pile experiments can be approximated using a log-normal distribution with a mean and standard deviation calculated using the samples collected during construction of the piles, and that little to no spatial relationship was present for these parameters at the scale of sampling. That the saturated hydraulic conductivity of the matrix material can be represented by the same statistical distribution throughout the test pile is significant because water flow, as well as mineral surface area and reactivity are dominantly controlled within the matrix portion of the test pile. Reactive transport simulations are included to demonstrate the influence of the matrix material on effluent geochemistry.

【 授权许可】

Unknown