Ground Penetrating Radar (GPR) ?Mineral Base Profiling And Orebody Optimization?

The calculation of resource volumes for large mineral sands deposits is the process of systematically compiling all known data in order to define the volume of ore contained and its intrinsic economic value. Traditionally, this process has been highly speculative in nature, as the variability of the layer thickness, even between closely spaced, boreholes can be highly variable. The issue of horizon continuity is of critical importance in mine modelling and resource definition. Accurate volume estimates are difficult to derive from drilling data alone, as the borehole spacing of an economically viable drilling programme is often greater than the spatial frequency of the variations in profile thickness. The limitations associated with this inferential approach to resource estimation can be mitigated through the use of newly developed ground penetrating radar (GPR) methods, thereby maximizing orebody optimization by reducing contamination and orebody loss. The use of GPR in the mining industry has historically been limited to shallow, high-resolution applications, such as the location of voids in limestone or the mapping of paleo channels for alluvial gold and diamonds (Francke and Yelf, 2003). These limitations have not been technology based, but rather market based, as the vast majority of GPR systems were originally designed for civil engineering applications. A new generation of GPR technology, designed specifically for maximum penetration in sand environments, is now being developed. This technology has been trialled extensively at the Richards Bay Minerals heavy mineral sand deposit in South Africa with optimistic results. The clay base of the mineral sands has been imaged to some 120 metres. Further equipment refinements are expected to yield even deeper profiling and higher resolution. The resolution offered by this technology is unique, allowing individual depositional sequences to be imaged and modelled in three dimensions. This paper will discuss the advances in GPR technology relevant to the mineral sands industry, as well as methods to optimize and integrate GPR data into existing mine models. Also addressed will be approaches to three-dimensional modelling of high-resolution GPR data and subsequent volume estimations.