Деятельность отдела специсследований (в настоящее время ОГУМРЭ) ВСЕГЕИ с 1947 г. направлена на решение важнейшей государственной задачи – создание и совершенствование структуры МСБ урана нашей страны.

В книге «Краткий курс месторождений полезных ископаемых» рассмотрены процессы образования месторождений полезных ископаемых и приведены их генетическая и промышленная классификации. Описаны металлические, неметаллические и горючие ископаемые с точки зрения их геологии, морфологии и вещественного состава на примерах главнейших союзных и некоторых мировых месторождений. Изложены необходимые сведения по методике поисков и разведки месторождений и сообщены краткие сведения о подсчете запасов минерального сырья.

Geoscience has a long and glorious history in Finland (Tanskanen 1986, Haapala 2005). The first geological studies were already performed and academic dissertations written at the Academy of Turku, the first university in Finland founded in 1640. The first Chair in Geology and Mineralogy was established at the University of Helsinki in 1852. During the historical period of the Enlightenment, geoscience received more emphasis and funding, as it could show direct benefits to society and its rulers. The beginning of geological survey activities in Finland was closely connected with the father of Finnish mineralogy, Nils Nordenskiöld, who operated as the General Intendant of the Mining Council during 1823–1855. He was the one who showed initiative and pursued the beginning of geological surveys and exploration funded by the government. His initiatives were fulfilled by founding a geological office to the government’s Mining Council in 1870. The work of geologists and surveyors was effective: they mapped much of Southern Finland and made some promising findings of gold and other commodities <...>

Resource evaluation drilling is usually on a regular pattern; the pattern spacing should be optimised to maximise profit from mining, accounting for the cost of drilling and the value of additional information from increased density of drilling, and also to reduce risk in mined ore tonnes and grades to an acceptable level. Conditional simulation methods for determining optimum drilling spacing are more powerful than traditional methods, and simulation methods can take into account local variability in grade. Mining profit functions can consider profit and density of evaluation drilling so that profit can be maximised.

Detailed spatial models generated by conditional simulation provide a powerful tool for case-specific optimization of sampling designs. The entire process of sampling, estimation, and decision can be simulated on such a model by a Monte-Carlo approach. Optimization can be based on economic functions or on decision quality constraints rather than simple minimization of estimation variance.

A thorough program of quality assurance/quality control (QA/QC) will enable collection of meaningful and scientifically credible samples. Quality assurance (QA) includes a range of management and technical practices designed to guarantee that the delivered product is commensurate with the intended use. For environmental- or discharge-related studies, QA ensures that the data are of adequate scientific credibility to permit statistical interpretations that lead to resource-use management decisions. 

Once the decision to drill a hole has been made it is the geologist's responsibility to insure the site is properly located in the field. The collar should then be clearly marked with 1.5 - 2.0 m high wooden marker that is spray painted, labelled and marked with flagging tape.

The Global Optimiser used by Whittle Consulting has gone through three major versions to date. The first was based on the Milawa optimisation algorithm; it worked, but had many shortcomings. The second, known internally as ProberA, had a different approach to optimisation in that it used a series of random starting points and found the nearest local NPV maximum to each.