Risk in project evaluation involves the probability of estimates
failing. There are few more risk prone businesses than mining.
Burmeister (1989) reviewed 35 Australian gold operations which were initiated in the period 1984 to 1987 and found that two-thirds of them had not achieved targeted gold production in the first full year of operation. For those that did exceed target, the overriding reason was a higher than anticipated plant throughput. Only two out of the 35 achieved their projected recovered grade. Burmeister observed that the reasons for the shortfall in grade included excessive dilution, inappropriate estimation techniques, inadequate geological interpretation, unreliable assays and inadequate drilling.  <...>

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.

В книге излагаются основы трехмерного моделирования месторождений — от исследования и подготовки данных для интерполяции до проверок результатов моделирования. Предпринята попытка объяснить довольно сложные понятия простым доступным языком. Материал сопровождается большим количеством иллюстраций.

Все рассмотренные вопросы и решения опираются на собственный практический опыт авторов.

Авторы — ресурсные геологи, занимающиеся моделированием месторождений ТПИ в добывающих организациях.

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.

Case studies involving a range of approaches to modelling a variety of orebodies highlight the importance of geological controls and constraints as well as understanding statistics and geostatistics in achieving predictions which reconcile with reality.

Reconciliation issues can be related to mineralisation style and the failure to recognise the appropriate boundary and statistical/geostatistical characteristics.

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.

The CIM Estimation of Mineral Resources and Mineral Reserves Best Practice Guidelines (MRMR Best Practice Guidelines) were prepared by the Canadian Institute of Mining, Metallurgy and Petroleum's (CIM) Mineral Resources and Mineral Reserves Committee (CIM MRMR Committee) to update an earlier version that was accepted by CIM Council on November 23, 2003 (CIM, 2003). These 2019 MRMR Best Practice Guidelines supersede and replace the November 23, 2003 version of the MRMR Guidelines <...>

Narrow veins—defined as having a true width of less than 3 m—represent a significant source of gold, which is often exploited by junior or small- to medium-size companies. Their inherent geological and grade complexities create particular problems of evaluation.

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.

Подготовлен комитетом ЮАР по минеральным ресурсам (SAMREC) под эгидой Южноафриканского института горной промышленности и металлургии. Вступил в силу в марте 2000 г.

1.1 В Кодексе ЮАР для составления отчетов о минеральных ресурсах и минеральных запасах («Кодексе SAMREC» или «Кодексе») представлены минимальные стандарты, рекомендации и руководящие принципы для составления публичных отчетов о результатах геологоразведочных работ, минеральных ресурсах и минеральных запасах  в ЮАР.