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Mr. Garth Kirkham

2023 Howard Street Robinson Medalist

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Friday, February 2

11:00Ìý

FDA 232Ìý

Fundamentals of Mineral Resource Estimation

Abstract: The significant components of resource estimation pertains to data management, data analysis, geological interpretation and modelling, geostatistics, quality assurance/quality control, change of support, block model interpolation, resource estimation and reporting. This lecture will focus on data compilation and integration, data analysis, creation of ore body models and estimating methodologies along with software systems for mineral resources. In addition, a review of common pitfalls, do’s and don’ts along with examples of good and bad practice will be discussed. The following are some of the outcomes that will be touched upon:

• Develop an understanding of the terminology, concepts and methodologies related to mineral resource estimation. • Assess datasets such as drillhole collars, surveys, assays, lithologies, topography, specific gravities, and the importance as the basis for reliability and confidence.

• Basic statistical analysis and understand the implications of analytical results.

• What are geologically realistic models used to constrain mineral resource estimations and develop an understanding of limitations.

• Assess data quality and certainty based on factors including drill hole spacing, data vintages, lithological control and variability.

• Discuss the merits of resource estimation methodologies and techniques