The International Template for Reporting of Exploration Results, Mineral Resources and Mineral Reserves integrates the minimum standards being adopted in national reporting codes worldwide with recommendations and interpretive guidelines for the Public Reporting of Exploration Results, Mineral Resources and Mineral Reserves. The definitions in this edition of the International Reporting Template are either identical to, or not materially different from those definitions used in the countries represented on the CRIRSCO committee <...>

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.

В современной архитектуре усиливается значение природного облицовочного камня как высокодекоративного, долговечного и престижного материала. Для Ленинградской области облицовочные камни в настоящее время являются одним из наиболее инвестиционно привлекательных видов полезных ископаемых.

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 <...>

Ordinary kriging and non-linear geostatistical estimators are now well accepted methods in mining grade control and mine resource estimation. Kriging is also a necessary step in the most commonly used methods of conditional simulation used in the mining industry. In both kriging and conditional simulation, the search volume or ‘kriging neighbourhood’ is defined by the user. The definition of this search can have a very significant impact on the outcome of the kriging estimate or the quality of the conditioning of a simulation.

Classification of mineral resource estimates is one of the most important responsibilities of the Competent Person. In recent years, classification decisions have been driven more by the detailed block-by-block attributes generated by the now widely appliedgeostatistical estimation methods, and less by a general geological overview.

Classification of Mineral Resources and Ore Reserves is an essential component of Resource/Reserve estimation, and is one of the most important responsibilities of the Competent Person. When carried out appropriately, it accurately conveys the Competent Person’s confidence in the estimates to those who need to make decisions which depend on the estimates, but who have less familiarity with the deposit than the Competent Person.

Mineral resource and ore reserve classification defines the risk associated with quoted resource tonnes and grades, allowing the interested party to make a judgement as to the ‘worth’ of the resource statement. The JORC Code and Guidelines (1992) are now well entrenched as the foundation upon which gold and base metal deposits in particular are publicly reported. There are three categories of resource, namely Measured, Indicated or Inferred reflecting decreasing levels of confidence. The ore reserve, that is the economically mineable part of the resource, is classified as Proven or Probable and can only be drawn from the Measured and Indicated resource categories. <...>

The Australasian Code for reporting of Mineral Resources and Ore Reserves (JORC Code) was updated in 1999 (JORC 1999). This paper has been written as an update of Snowden (1996 and 1997) to recognise the large amount of experience with the use of the JORC Code gained by industry over the last four years, and describes the latest developments in technology and toolkits for risk classification.

So much work has been done in recent years using geostatistics to solve practical problems that we no longer have to apologise for nor justify the method. The method is as good as the practitioner, which goes, after all, for any technical application. There have been enough case studies now to show that almost any orebody, simple or complex in structure, which has a definable spatial continuity, will be amenable to geostatistical evaluation given that it is suitably sampled.