Through the years, geologists, mining engineers, and others operating in the minerals field have used various terms to describe and classify mineral resources, which as defined herein include energy materials. Some of these terms have gained wide use and acceptance, although they are not always used with precisely the same meaning.

The U.S. Geological Survey (USGS) collects information about the quantity and quality of all mineral resources. In 1976, the USGS and the U.S. Bureau of Mines developed a common classification and nomenclature, which was published as USGS Bulletin 1450-A—“Principles of the Mineral Resource Classification System of the U.S. Bureau of Mines and U.S. Geological Survey.” Experience with this resource classification system showed that some changes were necessary in order to make it more workable in practice and more useful in long-term planning. Therefore, representatives of the USGS and the U.S. Bureau of Mines collaborated to revise Bulletin 1450-A. Their work was published in 1980 as USGS Circular 831— “Principles of a Resource/Reserve Classification for Minerals. <...>

In contrast to the recognized man/machine system of industry, the production process of mineral resources brings about a man/machine/nature system. The dynamic evolution of this system is characterized by a steady increase in the level of human labour. This also means that labour becomes increasingly complex and complicated due to the interaction with increased automation and mechanization.

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.

The estimation of mineral resources is critical to all mining operations irrespective of size or commodity.1,12 The risks associated with mining are varied and complex, where the dominant source of risk is the orebody itself. Reverse circulation (RC) and diamond core drilling methods are used extensively for the collection of samples from depth.

Mineral resource evaluation requires defining geological domains that differentiate the types of mineralogy, alteration and lithology. Usual practice is to consider the domain boundaries as hard, i.e. data from across the boundaries are disregarded when estimating the grades within a given domain. This practice may hinder the quality of the estimates when a significant spatial correlation of the grades exists across the domain boundaries.

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.

Меднопорфировые месторождения (МПМ) являются ведущими в мире по запасам и добыче Cu и Mo, а также сопутствующих Au, Ag, Re. Среди них наибольшее количество объектов «мирового класса» – гигантских (>10 млн. т Cu) и супергигантских (>25 млн. т Cu), в т.ч. самые крупные из известных чилийские месторождения Чукикамата и Эль Теньенте с запасами Cu более 100 млн. т каждое. По геологическому строению вулканоплутонические пояса (ВПП) России имеют сходство с поясами Северной и Южной Америки, Азиатско-Тихоокеанского региона, где сосредоточены сотни МПМ, включая десятки крупных и сверхкрупных.