Вестник МГТУ. 2019, Т. 22, № 1.

Белогородцев О. В. и др. Промышленное освоение прикарьерных запасов. O. V. Belogorodtsev, E. E. Khomkin Industrial development of near-open pit reserves based on multivariate analysis and computer modelling of geotechnology objects The conditions for potential production of deposit reserves are studied at the initial stage of its development as every deposit is a unique one. Mining conditions can change during production, therefore, it is necessary to adapt the mining technology to the conditions of the field. Adaptation is possible based on the identification and assessment of all factors affecting the process of mining. The authors have revealed principal parameters influencing on a choice of mining technology and mining safety when developing near-open pit reserves of the Khibiny apatite-nepheline deposits under complicated mining-geological and technical conditions. The paper demonstrates examples of modelling open and underground geotechnology objects in MINEFRAME mining- geological information system by using a module of automated analysis of mining-geological conditions. The module allows automated formation of vertical cuts within an ore body with the set spacing. For each section, the occurrence elements are determined: angle of incidence, normal thickness, ore areas, including security pillars. This approach reduces significantly the duration of measurements and analysis of mining-geological conditions. The authors have developed the options to mine the near-open pit reserves of the Saamsky open pit, where mining had been completed and there is no access there because of transport communications absence. The industrial stocks and indicators of their extraction options have been identified by options. Integrated engineering and geomechanical estimation of production conditions for deposit reserves by computer modelling allows improving a perception of visual information and developing an optimal mining method to develop deposits. Key words: mineral deposit, ore reserves, mining technology, computer modelling Article info: received 24.01.2019; received in revised 04.03.2019 128