A mineral resource estimation project is a process of sequential activities which scope is much greater than the single data interpolation. Its final purpose is to ensure the quality of the estimated block model and assess its reliability, based on the quality evaluation and assurance of each of the stages that compose it, from drilling sampling to mineral resources classification under current international standards.

According to the CIM Definition Standards, 2014, (https://mrmr.cim.org/media/1128/cim-definition-standards_2014.pdf):

“The category to which a Mineral Resource or Mineral Reserve estimate is assigned depends on the level of confidence in the geological information available on the mineral deposit; the quality and quantity of data available on the deposit; the level of detail of the technical and economic information which has been generated about the deposit, and the interpretation of the data and information.“

The definition above is common or quite similar in all international codes that regulate competences and definitions in mineral resources and reserves.

The purpose of the post is to provide an overview of the best practices in database management and Qa-Qc, in order to understand the quality of the input information as the basis for modeling mineral resources and reserves.

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