摘要

This paper presents a new mathematical approach to a well known interpolation technique of the trend surface analysis method that allows for fast and accurate estimation of the spatial distribution of mineral resources. The most popular and accurate method for estimating the quality of an ore body spatial distribution uses geostatistics built upon complex variogram modeling. To simplify this application and maintain sensitivity, a trend hypersurface analysis method was reformulated, and a novel computer algorithm was established to analyze data collected from a limestone quarry in Turkey. However 4 dimensional variables obtained from drill hole data and data type limit the surface analysis studies. This study compares the measured CaCO3 contents obtained from 31 drill holes with data derived from mathematical modeling.

  • 出版日期2011