This book is about resource modeling. It explains important issues; it describes geological and statistical tools used in resource modeling; and presents case studies for illustration. The main intent is to avoid strict theoretical presentations, and focus on practical adaptations that result in good resource estimation practice.

This beautifully presented course manual supporting Snowden Mining Industry Consultants renowned course in Resource Estimation represents the culmination of more than 20 years of course refinements, revisions, improvements and further refinements. No doubt the manual will continue to be improved in the future as new information becomes available and new techniques are introduced. After all a course manual must be a dynamic, living document that remains relevant to the mining industry. <...>

AI and machine learning

Introducing deep learning and interpreting the patterns – a mineral deposit perspective

D.M. First, I. Sucholutsky, D. Mogilny and F. Yusufali

ML and AI for resource estimation – what could possibly go wrong? Nothing! Everything!

M.J. Nimmo

Best practice

A guide to reporting Mineral Resource exclusive of Mineral Reserve

T. Rowland, H. Arvidson, M. Noppé, M. Mattera, B. Parsons, V. Chamberlain and R. Marinho

This is not a recipe book, nor does it provide a clean outline of steps to generate resource models, or derivations of complex theories/mathematics. Instead, this is a book for pragmatists that follows on from “The Art and Science of Resource Estimation” and caters for mining professionals who are looking for that next step in developing their insight so they can critique methods and parameters with competence and confidence, and raise the quality of resource models. <...>

Russia has increasingly become one of the most important centres for the activities on raw commodity assessments in the recent years due to its enormous resources spread out over a huge territory. As Russia is rapidly closing the gap between the requirements of the internationally accepted codes and its own resource assessment standard, the practical reality is that the legacy of the Soviet Union for the assessment of resources is still active and alive today. However, this does not mean the requirements of the old Soviet system, now the Russian system, are redundant or unacceptable to the codes seen in the international scenery; but it is rather a descriptive and useful tool which guides the competent persons and practitioners in a well prescribed way when they are assessing the mineral resources in Russia. As the old Soviet standard has also been adopted into the national legislations in the other former Soviet Union countries similar to the current Russian system, the Russian code has become an important element in reconciliation of the resources in accordance with the criteria defined in the internationally recognised codes for Reporting Mineral Resources and Ore Reserves such as JORC. This article reviews the experience of IMC in resource estimation in both Russia and neighbouring CIS countries in compliance with both the national code and international codes, and the related issues and obstacles faced and dealt by the competent persons <...>

The report of the researchers of the Institute of Hydrogeology and Geoecology named after U.M. Akhmedsafin gives a review of energy and mineral resources of the Republic of Kazakhstan. The report shows their role in the economy of the country, as well as the role of the state for resource management, based on the current legislation in the area of exploitation of natural resources and environment protection. The report describes counteracting measures of the state against the global economy crisis events. It also reviews the existing classification systems of mineral resources of the country. Statistics on energy production and extraction of mineral resources are provided. Besides, the report considers social and ecological aspects of energy production and extraction of mineral resources. It provides data on the development of non-traditional renewable energy resources and the results of scientific research in this area, as well as information about the training system for technical and scientific staff and about the state of energy and natural resource management system of the country. <...>