Impacts of Different Competent Persons Judgements in Mineral Resources Classification

Authors

  • Solomon Kwabena Ansah Owusu Colorado School of Mines
  • Kadri Dagdelen Colorado School of Mines

DOI:

https://doi.org/10.17159/

Abstract

Uncertainty with regards to estimated grades and tonnages of a mineral deposit demands risk assessment in order to mitigate investment risks, build the confidence of investors and attract the interest of other stakeholders on the success of a project. Classification of uncertainties associated with resource estimation is a major challenge in the mining business because their negative impacts lead to unreliable production schedules and unpredictable cash flows. The various standard codes for public disclosure provide guidelines and recommendations for the classification of Mineral Resources and Reserves but they lack the provision of details, for example, geological and geostatistical information needed for each category of the Mineral Resources and Reserves. Dependency of the parameters used to generate the resource classification categories, based on the assumptions made by the Competent Person (CP) leads to inconsistencies in classification results with different accuracies. This paper investigates the impacts associated with classification results due to different CP judgements, using same drill hole datasets. Different classification parameters generated by different CPs were applied on same copper and gold data to determine inconsistencies in classification results. The varying results from this work underpin the need for the industry to develop a uniform framework that can minimize or avoid potential influence by CP in the classification of Mineral Resources and Reserves.

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Author Biographies

  • Solomon Kwabena Ansah Owusu, Colorado School of Mines

    Dr. Solomon Owusu is the principal author and a Research Faculty at Colorado School of Mines (CSM) in USA. He received his PhD in Mining Engineering from CSM, Master's degree in Mineral and Mining Engineering from New Mexico Institute of Mining & Technology in USA and Bachelor's degree in Geological Engineering from University of Mines & Technology in Ghana. 

     

  • Kadri Dagdelen, Colorado School of Mines
    Dr. Kadri Dagdelen is co-author and a Professor of Mining Enginering at Colorado School of Mines. He received his PhD, Master's and Bachelor's degrees from CSM. His research interests are in Geostatistics, Mine Planning and Production Optimization.

Published

2026-04-15

Issue

Section

Papers of General Interest