این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
International Journal of Mining and Geo-Engineering، جلد ۵۹، شماره ۳، صفحات ۲۳۷-۲۴۵
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Electrical imaging of gold-bearing mineralization zones through 3D geophysical modeling
چکیده انگلیسی مقاله This study illustrates the use of 3D geoelectrical inversion modelling to accurately identify and characterize gold mineralization at a high potential zone in Iran. Nine parallel time domain geo-electrical profiles were acquired using a pole-dipole array, covering a total of 200 meters per profile with 10-meter electrode spacing. The induced polarization and resistivity data were processed and inverted using an unstructured tetrahedral mesh, enhancing the resolution and providing a more precise understanding of subsurface anomalies. The results revealed distinct chargeability and resistivity profiles, which were correlated with siliceous dikes and sulfide-rich zones, both of which are indicative of potential gold mineralization. Shallow anomalies (20-50 meters) align with hornfels layers and display characteristics typical of low-sulfidation epithermal systems, suggesting favorable conditions for gold mineralization. Furthermore, deeper anomalies (50-70 meters), associated with intrusive bodies, exhibit high resistivity and chargeability, consistent with gold-enriched siliceous veins. The study emphasizes the importance of integrating geophysical inversion techniques in gold exploration, as they provide a cost-effective and accurate method for identifying mineralized zones, reducing exploration uncertainties, and enhancing resource estimation. This approach contributes significantly to the efficiency and success of mining ventures by providing valuable insights into subsurface structures.
کلیدواژه‌های انگلیسی مقاله Electrical resistivity,Electrical Chargeability,inverse modeling,Unstructured meshing,Gold Mineralization
نویسندگان مقاله Ali Mohammadi |
School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran.

Maysam Abedi |
School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran.

Mirsaleh Mirmohammadi |
School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran.

Ahmad Zarean |
Civil Engineering Department, Islamic Azad University of Shabestar, Tabriz, Iran.

نشانی اینترنتی https://ijmge.ut.ac.ir/article_102626_5a76a65f1ffd44cf96d91f590caf868c.pdf
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات