Throughout the Standard, certain words are used in a general sense when a more specific meaning might be attached to them by particular commodity groups within the industry. In order to avoid unnecessary duplication, a non-exclusive list of generic terms is tabulated below together with other terms that may be regarded as synonymous for the purposes of this document. <...>

The declaration of National Mineral Policy 2008, amendments to MMDR Act 2015, and recent reforms in mining legislation viz. MEMC Rules 2015, National Mineral Exploration Policy 2016, Mineral Auction Rules 2015, NMET Rules 2015, and Mineral Concession Rules 2016 etc. were primarily aimed at attracting private investment and the latest technology in the mineral sector, assurance of uniform lease period, dealing with low exploration expenditure and eliminating procedural delays.

The Pan European Reserves and Resources Reporting Committee (PERC) Standard for Reporting of Exploration Results, Mineral Resources and Mineral Reserves (further referred to as the 'PERC Reporting Standard') sets out the minimum standards, additional guidelines and recommendations for the Public Reporting of Exploration Results (including Exploration Targets), Mineral Resources and Mineral Reserves.

African Mineral and Energy Resources Classification and Management System (AMREC) is a continental system for management of Africa’s mineral and energy resources.

The AMREC is based on United Nations Framework Classification for Resources (UNFC) Principles, Generic Specifications and Guidelines and is aligned to Africa Mining Vision (AMV) and the Sustainable Development Goals (SDGs). Adapting to national or local needs, the AMREC provides the specifications and guidelines required for sustainable development of Africa’s mineral and energy resources.

Nickel, copper, and cobalt resources in undiscovered Ni-Cu deposits associated with Palaeoproterozoic synorogenic intrusions and Archaean and Palaeoproterozoic komatiitic volcanic rocks have been estimated down to the depth of one kilometre in the bedrock of Finland using the three-part quantitative assessment method. Grade-tonnage models were constructed for Finnish synorogenic intrusive deposits and komatiitic deposits using data from known Fennoscandian deposits. Twenty-six permissive tracts were delineated for synorogenic intrusive deposits, 30 for komatiitic deposits, and 15 for Talvivaaratype Ni-Zn-Cu-Co deposits.

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.