Although aspects of mineral deposit evaluation are covered in such texts as McKinstry (1948), Peters (1978), Reedman (1979) and Barnes (1980), no widely available in-depth treatment of the subject has been presented. It is thus the intention of the present book to produce a text which is suitable for both undergraduate and postgraduate students of mining geology and mining engineering and which, at the same time, is of use to those already following a professional career in the mining industry. An attempt has been made to present the material in such a way as to be intelligible to the average geologist, or engineer, who is perhaps daunted by the more mathematical approach to the subject of orereserves found in more specialist books and papers. Although most of the theory in this book is written using metric units, individual case histories are described using the units employed at each mine at the time of writing <...>

The Australasian Institute of Mining and Metallurgy (The AusIMM) has been one of the principal organisations behind the JORC Code, which has been adopted by the Australian Stock Exchange and the Australian Securities commission as the standard for reporting mineral resources and ore reserves. This is now starting to be recognised as the international standard, with the UK, the USA and Canada all examining some form of the JORC Code for their resource and reserve reporting guidelines. The AusIMM has now further taken the initiative to produce a major volume covering all aspects of world’s best practice in Mineral Resource and Ore Reserves estimation. This prestigious volume will be published in the year 2000. <...>

The process of estimating a Mineral Resource can only take place after the estimator is convinced of the soundness of the fundamentals underlying the estimation process. Thus the database of sampling, density, and other quality data for both estimation and geological interpretation must have integrity and robustness (Chapter 2);

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.

This manual provides a reference for geologists and engineers attending Snowden’s Advanced Resource Estimation course. The purpose of this course is to skill geologists and mining engineers with the tools to carry out advanced resource estimation techniques.

Монография Австралазийского института горного дела и металлургии посвящена описанию и обобщению самого передового опыта в области оценки минеральных ресурсов и рудных запасов. Настоящее издание состоит из 9 глав и 79 статей, написанных известными в мире учеными и практиками, в которых рассматривается широчайший спектр вопросов, касающихся в той или иной степени очень сложной и актуальной для любой горной компании проблемы оценки ресурсов и запасов. В книге можно найти много полезных сведений о новациях, иногда коренным образом отличающихся от российской зарегламентированной действительности в этой сфере. Книга будет полезна специалистам, работающим в геологической и горнодобывающей отраслях, а также аспирантам и студентам горных вузов.

Рассмотрены генетические, формационные, структурно-морфологические и промышленные типы плутоногенных месторождений молибдена, вольфрама и олова. Показана роль тектонических структур, литологии, строения материнских плутонов, рудной зональности и других факторов, определяющих условия концентрации и масштабы месторождений. Обоснованы поисково-оценочные критерии, изложены методические приемы количественной оценки оруденения.
Для геологов производственных и научно-исследовательских организаций, занятых прогнозированием, поисками и разведкой рудных месторождений.

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. <...>