Abstract

Resources have economic value, form, quality, quantity, grade, geological characteristics, and certain sustainability to be extracted economically. Mineral resources decrease based on the level of geological confidence in the Inferred, Indicated, and Measured categories. This study uses the Ordinary Kriging geostatistical method to assess the potential of nickel laterite resources and the distribution of nickel mineralization levels in the study area. The research methodology was inspired by statistical and geostatistical analysis, starting with univariant statistical analysis, spatial statistics, bivariant statistics, and resource estimation. For later use in determining the distribution of mineralization grades and classifying nickel laterite resources using the Relative Kriging Standard Deviation (RKSD) calculation. This method estimates nickel content in a block whose grade value is unknown. The results of statistical calculations using Ordinary kriging obtained an average grade value of 2.90% Ni. Mineralization data for nickel content in limonite layers with Ni content of 0.5 – 1.3% and saprolite layers with Cut of Grade (COG) Ni, > 1.4 – 3.1% Ni in limonite and saprolite layers are projected in the block model. The estimated tonnage of nickel resources using the OK method is 670,837.83 tonnes. Laterite nickel resource classification results RKSD calculation are classified into measured resources (Measured).

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