1.1 Настоящим документом устанавливаются требования к геофизическому опробованию скавжин и горных выработок, при соблюдении которых его результаты должны использоваться самостоятельно или в сочетании с данными геологического опробования для решения следующих задач разведки и подсчета запасов месторождений металлов и нерудного сырья:

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. <...>