
Technique for Justifying the Amount of the Redundant Developed Reserves Considering the Content of Metal in the Mining Ore
Author(s) -
Kanay Rysbekov,
Ayan Toktarov,
Tursyn Kalybekov
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/666/3/032076
Subject(s) - homogeneity (statistics) , quality (philosophy) , production (economics) , mining engineering , data mining , computer science , engineering , statistics , mathematics , philosophy , epistemology , economics , macroeconomics
An analysis of the preparedness of reserves in the Kazakhstan quarries has shown that in a real production process, periods of stable mining unit operation alternate with failures when the ore mass is not fully or partially supplied over the estimated time in the targeted amount and quality. To eliminate the production process breakdown and ensure continuity and consistency of the individual mining cycle stages, redundant mining units with developed reserves should be provided. A technique for justifying the prepared ore reserves is proposed considering the variability of the active mining face parameters based on a statistical analysis of data of operating mining enterprises. To determine the dependence of the produced raw material qualitative composition homogeneity on the number of open pitiable mining faces, the actual weekly-daily schedules of the mining operations of several quarries (test pit 1) and (test pit 2) have been used. It is assumed that under the conditions of an operating mining enterprise, some averaging process parameters independent of the number of mining units may be considered constant and determined based on the operation data. Therefore, the solution to the problem of determining the effect of the number of mining units on the ore flow averaging level can be simplified. The dependence of the useful component content on the number of operating mining units has been studied. A regression analysis of statistical data has been performed. Based on empirical dependencies, formulas for simplified calculating the amount of redundant developed reserves considering the required quality of the extracted ore have been obtained.