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

Abstract 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.