Dominujące uwarunkowania adaptacji kompleksu górniczego w warunkach środowiska dynamicznego

The paper deals with the issue of the development of man-made deposits of the bulk type, especially that formed during the development of iron ore deposits. An analysis of the actual state of man-made deposits was performed. Based on analysis the technology of man-made deposits mining was proposed. It involves the extraction of technogenic raw materials from the bulk and their separation according to quality characteristics using a mobile ore preparation complex. According to the proposed technology, the conditioned raw materials are sent to the processing place, and the empty rock is laid in layers in the created space. The parameters of the mining system were studied in the paper: the width of the excavator’s cut step is limited on the one hand by the unloading radius of the dragline, and on the other by the turning radius of the dump truck. A significant role is played by the raw material utilization ratio: the larger it is, the narrower the excavator cut step will be. The results of the research can be useful for design organizations and mining enterprises which implement resource-saving technologies.

Enhancing the adaptability of a mining complex in a dynamic environment by utilizing the technology for the development of a man-made deposit with a mobile ore preparation complex

Hryhoriev,

Shvets,

Joukov

et al. 2024

Prediction of the mineral components spatial distribution in tailings ferruginous quartzite enrichments

Babii,

Kratkovskyi,

Kuantay

2024

In Ukraine, a significant mass of potential man-made deposits is represented by waste from ferruginous quartzite enrichment. The mineral mass of such deposits is mixture of iron-containing minerals (magnetite, ilmenite) and quartz. The M.S. Poliakov Institute of Geotechnical Mechanics has developed a new methodology for the mineral components spatial distribution predicting in tailings of ferruginous quartzite enrichment. It includes the fractional and mineralogical composition of the samples study by optical method, and spatial useful components distribution of prognostication in waste and predictive plans construction for the useful components spatial placement. A previously unknown pattern of changes in mineral composition of wastes from mining ore production was revealed which caused by the turbulent transportation mode and waste deposition on the tailing (potential man-made deposit) area. This regularity arises from the fact that with decrease in the size of the mineral components particles with size of 0-200 microns, the share of the magnetic mineral magnetite increases linearly and, accordingly, the share of the non-magnetic mineral quartz decreases. The obtained new properties of man-made deposits from the waste (tailings) can be used in creation of resource-saving technology for the iron ore man-made raw materials processing and to determine their suitability for mining.

Predictive calculation of blasting quality as a tool for estimation of production cost and investment attractiveness of a mineral deposit development

Hryhoriev,

Lutsenko,

Shvets

et al. 2024

This study delves into the importance of ensuring the necessary degree of rock crushing in open pit mining technology and its profound impact on extraction, loading operations, and overall production processes. The degree of rock crushing significantly influences excavation and transportation costs, making it a pivotal factor in determining the total cost of mining operations. Traditionally, empirical formulas have been used to establish the dependence of granulometric composition of blasted rocks on rock properties and technological factors. However, this study emphasizes the need for a multifactorial model to predict rock crushing quality, incorporating characteristics of rock massifs, explosives, and specific costs. By doing so, it aims to enhance the efficiency of open-pit mining technology and evaluate the investment attractiveness of deposit development at the pre-project stage. The study also explores the use of linear regression analysis and non-linear search methods to determine the parameters for predictive calculations of blasting quality. The research offers valuable insights into optimizing blasting approaches and minimizing operational costs in open-cast mining operations, thereby contributing to the sustainable development of mineral deposits.