In this episode, Dr. Peyman Afzal discusses "New Fractal Methods and Usage in Mining." Fractals, known for their ability to analyze complex shapes and phenomena, are addressing challenges in modern mining, including exploring deeper deposits and declining ore grades. Fractal methods offer dynamic perspectives, enhanced analysis, and decision-making. They categorize geological, geomechanical, and petroleum variables, with applications in noise reduction using wavelet transforms. Multidimensional statistical techniques, like factor analysis, aid in accurate fractal modeling. Integrating fractal methodologies with neural networks and machine learning produces insightful and optimized results. Explore this intriguing insight on MineTrends' platforms.
Peyman Afzal, Associate Professor at Azad University's Petroleum and Mining Engineering Department. A dedicated mineral exploration researcher with expertise in geostatistics and fractal/multifractal modeling. With a background in mining management and consulting since 2004, specializing in ore deposit modeling for Cu, Fe, Au, and coal deposits. Teaching since 2007, currently an assistant professor at Azad University's south Tehran branch. Honorary University Fellow at the University of Exeter's Camborne School of Mines (UK). A prolific author with 50+ ISI papers since 2010 and active reviewer for Elsevier and Springer journals, including Journal of Geochemical Exploration, Computers and Geosciences, and Arabian Journal of Geosciences.