CASPIAN JOURNAL

MANAGEMENT AND HIGH TECHNOLOGIES

METHODS AND MODELS OF IDENTIFICATION OF RESERVES OF TECHNOLOGICAL UNITS OF URANIUM WELL LEACHING MINE

Read

Podrezov Denis R. METHODS AND MODELS OF IDENTIFICATION OF RESERVES OF TECHNOLOGICAL UNITS OF URANIUM WELL LEACHING MINE // Caspian journal : management and high technologies. — 2020. — №2. — pp. 32-43.

Podrezov Denis R. - National University of Science and Technological “MISiS”, dpodrezov81@rambler.ru

Uranium content in formation and infiltration deposits is rather low and amounts to tenths and hundreds percent. This deposit type is advantageous to develop without extracting ore to the surface. One effective way to extract uranium in such fields is underground well leaching. Many uranium industry enterprises working in this way are faced with the geological mismatch problem and directly exposed metal reserves on process mining blocks. Such inconsistencies are primarily related to the geophysical data interpretation results. In turn, this makes it difficult to predict geological and technological parameters well drilling operational volumes during the units commissioning; materials consumption and reagents for acidification and subsequent leaching. The work carried out a comparative analysis of underground well leaching uranium mine technological unit reserves estimating geophysical methods. Core geological testing methods and uranium ores geological reserves determining parameters specific geophysical methods, such as gamma logging and instantaneous fission neutrons method are considered. Obtained data statistical interpretation specific features are defined for these methods and systematic reasons and random (according to statistical criteria) discrepancies in ore intervals parameters for different ores classes and ore deposit morphological elements are justified. It has been found that the logging results quality is satisfactory and the results are highly reliable and can be used to quantify the ore intervals radioactive equilibrium coefficient. Themselves formation possibilities regression radioactive equilibrium coefficient relationships from radium average content in ore interval and ore intervals parameters numerical values determination for bag and ore deposit wing elements on this basis are shown according to statistical exploration database and technological wells. The obtained results made it possible to carry out statistical modeling and to determine ore intervals power correction ranges for different morphological boundaries on the on - board conditions graphs trends determination basis.

Key words: идентификация запасов, регрессионные взаимосвязи коэффициента радиоактивного равновесия, статистическое моделирование рудных интервалов, прирост запасов, ресурсный потенциал месторождения, inventory identification, radioactive equilibrium coefficient regr