uncertainty Featured Items
Publication

A Geostatistical Study Workflow and Software Guide for Tailings Deposit

Estimation of fines and solids content in tailings oil sands deposits is imperative for tailings planning as well as reporting tailings inventory to the regulator. This report reviews the development of a proper procedure for the engineering assessment of uncertainty in reported tailings mass/ volume as a function of data spacing.

data spacing fines content uncertainty solidsfines content geostatistics tailings deposit oil sands
Publication Event

Geotechnical design and uncertainty in residual soil slopes, MGR 2019: Proceedings of the First International Conference on Mining Geomechanical Risk, MGR 2019

Mining in residual soils is a characteristic of some open pit mines, particularly those mines in the tropical and sub-tropical regions. With residual soils’ prevalence on the earth’s surface almost as common as that of sedimentary rocks (Wesley 2013), mining in such soils requires special understanding of the behaviour and characteristics of the residual soil to determine slope designs that are both safe and economic. Due to the presence of relict structures, and the relatively low strength of the residual soils and weathered rock, design slope angles in these materials should be developed by blending the results of the kinematic assessments of geologic structures with rock mass stability analyses and traditional soil mechanics (Newcomen & Burton 2000). It is thus imperative that geotechnical designs should be site/location-specific and based on soil’s field performance, back-analyses and risk zoning. Understanding the variability of these materials is important for developing robust designs. This paper outlines the different aspects that are to be considered when conducting slope designs in residual soils, and in particular, saprolites, and summarises shear strength data from various mine sites that highlights the uncertainty associated with these parameters.

saprolite residual soils slope design uncertainty variability reliability