Evaluation of the Performance of the BlastLogic Software in Predicting Blasting Fragmentation Distribution in Surface Mines

Abstract

Surface mining is a crucial aspect of the mining industry, and one of the most significant factors that affect profitability and efficiency in mining operations is fragmentation. The traditional approach to fragmentation in surface mines involves the use of explosives, which generates a particular fragmentation profile that may not always be targeted size. The objective of this study was to evaluate the performance of the BlastLogic software in predicting fragmentation distribution in surface mines. This was in comparison with Swebrec, Kuz-Ram and Split-Desktop fragmentation results. Drill pattern designs are created (burden, spacing and hole position) in other design parameter software e.g., Maptek Vulcan, and Micro-station. These patterns are optimised in the BlastLogic software package. It uses advanced algorithms and models to simulate and predict the effects of different blasting parameters on fragmentation. The study was conducted on 5 surface mines. These were Mogalakwena Platinum Mine, Kolomela Iron Ore Mine, Sishen Iron Ore Mine, Isibonelo Colliery, and Navigation Colliery. The study involved collecting data on the existing fragmentation profile in the mine and the geological characteristics of the ore body. The data was then used to evaluate the performance of the BlastLogic software in predicting fragmentation distribution. The blasting parameters used to achieve this were blast hole diameter, burden and spacing, powder factor and geotechnical factors such as the geology of the rock to be blasted. By accurately predicting the fragmentation size, engineers and blasting experts can design the blast parameters, such as hole diameter, spacing, and powder factor, more precisely. This allows for better control over the size distribution of the blasted material. Also, knowing the expected fragmentation size allows for the selection of an appropriate amount of iii explosive energy. Using too much energy can lead to excessive fracturing and finer fragmentation, while too little energy can result in larger rock fragments. Proper energy management helps achieve the desired size distribution. The findings of this research demonstrated that the predicted fragmentation distribution created by using BlastLogic software is more effective and profitable than the conventional method. The predicted fragmentation size reduced the amount of oversized material generated during blasting, thereby improving the recovery rate of valuable minerals. The results showed that there were less than 15% of fines produced, with an insignificant amount of oversized material less than 5% for all surface mines under study. In conclusion, the study evaluated the use of BlastLogic software in predicting fragmentation distribution. The study further highlighted the results of vibration and overpressure results obtained from these improved designs from BlastLogic. It was evident that BlastLogic software is a valuable tool for improving the efficiency and profitability of mining operations. The software offered a more accurate and reliable method of predicting and improving blasting fragmentation distribution for surface mines.