Shahi, Hossein, Ghavami, Reza, Kamkar Rouhani, Abolghasem, Asadi Haroni, Hoshang. (1393). Identification of mineralization features and deep geochemical anomalies using a new FT-PCA approach. , 4(2), 227-236. doi: 10.22059/jgeope.2014.52721
Hossein Shahi; Reza Ghavami; Abolghasem Kamkar Rouhani; Hoshang Asadi Haroni. "Identification of mineralization features and deep geochemical anomalies using a new FT-PCA approach". , 4, 2, 1393, 227-236. doi: 10.22059/jgeope.2014.52721
Shahi, Hossein, Ghavami, Reza, Kamkar Rouhani, Abolghasem, Asadi Haroni, Hoshang. (1393). 'Identification of mineralization features and deep geochemical anomalies using a new FT-PCA approach', , 4(2), pp. 227-236. doi: 10.22059/jgeope.2014.52721
Shahi, Hossein, Ghavami, Reza, Kamkar Rouhani, Abolghasem, Asadi Haroni, Hoshang. Identification of mineralization features and deep geochemical anomalies using a new FT-PCA approach. , 1393; 4(2): 227-236. doi: 10.22059/jgeope.2014.52721

Identification of mineralization features and deep geochemical anomalies using a new FT-PCA approach

Geopersia
مقاله 9، دوره 4، شماره 2، 2014، صفحه 227-236    اصل مقاله (579.96 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jgeope.2014.52721
نویسندگان
Hossein Shahi* 1؛ Reza Ghavami1؛ Abolghasem Kamkar Rouhani1؛ Hoshang Asadi Haroni2
1Faculty of Mining, Petroleum and Geophysics, University of Shahrood, Shahrood, Iran
2Mining Faculty, Isfahan University of Technology, Isfahan, Iran
چکیده
The analysis of geochemical data in frequency domain, as indicated in this research study, can provide new exploratory information
that may not be exposed in spatial domain. To identify deep geochemical anomalies, sulfide zone and geochemical noises in Dalli Cu–
Au porphyry deposit, a new approach based on coupling Fourier transform (FT) and principal component analysis (PCA) has been
used. The relationship between frequency attributes of surface geochemical data and mineralizing depth has been discussed. To
determine the exploratory features in different frequencies, high- and low-pass filters have been performed on frequency domain; PCA
method has been employed on these frequency bands separately. The results of this study have identified the mineralizing elements and
showed the relationship between high- and low-frequencies and depths of anomalies. The geochemical halos of mineral deposits at
different depths affected frequency distribution of elements in the surface. The information obtained from geophysical studies and
exploration drillings, such as, trenches and boreholes, confirm the results of FT–PCA method. This new approach is very effective tool
to identify the promising anomalies and deep mineralization without drilling.
کلیدواژه‌ها
Principal Component Analysis (PCA)؛ Frequency domain؛ geochemical noises؛ two dimensional Fourier transformation
مراجع
آمار
تعداد مشاهده مقاله: 2,914
تعداد دریافت فایل اصل مقاله: 1,963