Evaluation of Geochemical and Geophysical Methods for Separation of Copper Oxide and Sulfide Zones in Chogan, Markazi Province
محل انتشار: مجله معدن و محیط زیست، دوره: 16، شماره: 4
سال انتشار: 1404
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 32
فایل این مقاله در 13 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JMAE-16-4_013
تاریخ نمایه سازی: 17 خرداد 1404
چکیده مقاله:
Chogan region is located in the west of the Urmia-Dokhtar volcanic belt and northwest of the Markazi province in Komijan City. Copper mineralization has a vein type with a length of ۲۶۰ meters and an average thickness of ۴ meters. Mineralization was taken in a sheared silica vein. Eighty three samples were taken from the surface ground, in the trenches and it determined the concentration of ۱۰ elements such as Fe, Al, Ca, Ba, S, Mn, As, Pb, Zn, and Cu. It was determined, that S, Ba, Mn, Fe, and Cu are secondary elements in the tuffs by the method of factor and cluster analysis. The constituent mineral such as barite and malachite are vein-shaped, but iron oxides such as hematite and goethite in the form of iron gossan. Geochemical, mineralogical, and geophysical (IP/RS) indices were investigated to separate copper oxide and copper sulfide zones. Sulfur and Ba were used in barite and excess S was chosen as sulfide index (Is). Chalcopyrite and metal factor were chosen as separating oxide and sulfide zones. By combining the geochemical and metal factor, it was approximated the apparent sulfide zone depth and confirmed with actual depth in borehole and error was less than ۱۲%.
کلیدواژه ها:
Sulfide and oxide zones ، Copper exploration ، Factor and cluster analysis ، Geochemical and geophysical indices ، Chogan in Markazi Province
نویسندگان
Feridon Ghadimi
Department of Mining Engineering, Arak University of Technology, Arak, Iran
Amirhossein Solaimani
Department of Mining Engineering, Arak University of Technology, Arak, Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :