Comparison of Infinite Fracture Model (IFM) and Discrete Fracture Network (DFN) for Estimating the Volume of In-Situ Blocks in Dimension Stone Mines with a Focus on UAV …

The dimension stone extraction industry serves as a vital economic sector in numerous countries, particularly in Iran, necessitating the implementation of innovative and efficient methods to optimize extraction processes and manage mineral resources. This paper focuses on the application of digital photogrammetry techniques and drone technology in the extraction and modeling of dimension stone quarries, specifically examining the Josheghan marble mine located in Isfahan Province. The study emphasizes the significance of identifying and analyzing fractures as key factors in enhancing the quality of extracted blocks, illustrating how modern methodologies can lead to optimized extraction processes and increased profitability for quarries. The research is based on two principal hypotheses: the Infinite Fracture Model (IFM) and the Discrete Fracture Network (DFN) model. The IFM posits that fractures extend indefinitely within the rock mass, a premise that may lead to inaccurate estimations of block volumes. In contrast, the DFN model provides more precise estimations of block volumes and quality by accounting for the complexities of geological structures and the presence of hidden fractures. To achieve accurate information regarding fractures and the structural characteristics of the mine, several procedures were undertaken in this research. Following the initial survey, seven scanlines, each 22 meters in length, were established at various locations within the mine to gather detailed data on fracture intensity and related features. The results indicate that effective management of dimension stone resources is contingent upon a thorough …