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Enhancing core recovery and RQD analysis in porphyry Cu deposits through fractal modeling, case study: Sungun mine (NW Iran) | ||
| International Journal of Mining and Geo-Engineering | ||
| مقاله 8، دوره 59، شماره 1، خرداد 2025، صفحه 69-74 اصل مقاله (617.72 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/ijmge.2025.383290.595200 | ||
| نویسندگان | ||
| Peyman Afzal* 1، 2؛ Behzad Heidari1؛ Mohsen Alidaryan1؛ Behnam Sadeghi3، 4؛ Lili Daneshvar Saein5 | ||
| 1Pouya Mes Iranian Company, Tehran, Iran. | ||
| 2Department of Petroleum and Mining Engineering, Islamic Azad University, Tehran, Iran. | ||
| 3Earth and Sustainability Science Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Australia. | ||
| 4CSIRO Mineral Resources, Australian Resources Research Centre, Kensington, Australia. | ||
| 5Department of Geology, Payame Noor University, Tehran, Iran. | ||
| چکیده | ||
| Interpreting core samples is a critical task in mineral exploration, essential for mine planning and design. Core Recovery (CR) and Rock Quality Designation (RQD) are key factors in assessing the geomechanical properties of a deposit during coring operations. This is particularly important in porphyry deposits, which are notable for hosting significant, deep copper mines. The accurate determination and interpretation of core recovery and RQD are crucial for these porphyry deposits. This study applied number-size (N-S) fractal modelling to enhance the interpretation of core recovery and RQD in ongoing exploratory drilling at the Sungun porphyry deposit, a prominent copper mine in Iran. Our findings revealed that core recovery and RQD exhibited a multifractal nature. Key zones for core recovery and RQD began at thresholds of 75% and 63%, respectively, with high-intensity zones for both parameters started at 89%. Additionally, the study explored correlations between these zones and other drilling parameters, such as mud flush return, drilling time, and core length, using an overall accuracy (OA) matrix. These parameters were analyzed using the N-S fractal model, indicated a strong relationship between core recovery, core length, flush returns, and drilling time. This integrative approach enhances our understanding of the deposit's geomechanical properties and guides more effective exploration strategies. | ||
| کلیدواژهها | ||
| Core Recovery (CR)؛ Rock Quality Designation (RQD)؛ Number-Size (N-S) fractal modeling؛ Porphyry؛ Sungun | ||
| مراجع | ||
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