Natural variability and sampling uncertainty influence location and accuracy of economic grades in an orebody model. Each deposit therefore needs to be considered on its own merits. SRK has a large team of ‘Competent Persons’ experienced in assessing such uncertainty and applying Mineral Resource classification in accordance with international reporting codes.
The underlying data is assessed to address the possibility of bias from poor sampling methods, quality control on sample preparation and laboratory accuracy, and databasing errors.
Sampling density in relation to deposit size and structural understanding are key to robustness of geological interpretations. Geostatistical studies are used to assess grade continuity and the possible estimation errors at a selective mining and global scale.
The international reporting codes require that classification of Mineral Resources is undertaken by ‘Competent or Qualified Persons’. SRK employs several appropriately experienced geologists full time.
SRK has classified Mineral Resource estimates in accordance with international reporting codes, for hundreds of deposits and our technical experts have presented to international workshops and conferences on Mineral Resource Classification.
- Independent Estimation and Classification of Mineral Resources;
- Reclassification of existing estimates in line with International Reporting Codes;
- Advising on sampling programmes to increase deposit confidence classification.