Exploration and Mining
Maliheh Abbaszadeh; Ardeshir Hezarkhani; Saeed Soltani-Mohammadi
Abstract
In recent years, economic geology studies have become very popular method in mineral exploration studies. Modeling fluid inclusion data is one of the common studies in economic geology. In this research artificial neural networks method, as one of the machine learning algorithms, is used for three-dimensional ...
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In recent years, economic geology studies have become very popular method in mineral exploration studies. Modeling fluid inclusion data is one of the common studies in economic geology. In this research artificial neural networks method, as one of the machine learning algorithms, is used for three-dimensional modeling and application of the results of fluid inclusion analysis in Sungun porphyry copper deposit. For this purpose, fluid inclusion data is used for directly separation of related alteration zones with mineralization (Potassic, Phyllic and Potassic- Phyllic). Due to the relation that exists between alteration zones and mineralization areas, based on 173 fluid inclusion data the separation of alteration zones is modeled by artificial neural networks method in Sungun porphyry copper deposit. According to the validation studies, it can be concluded that precision of this model is appropriate (83%) and trained model could be used for separation of alteration zones in Sungun porphyry copper deposit.
M. Abbaszadeh; Ardeshir Hezarkhani
Abstract
Rabor area is located in 160 km south of Kerman city and 40 km east of Baft. There is some evidence illustrating some porphyry copper type mineralization, co-operated with tens of within Urumieh-Dokhtar volcanic belt stocks. Identification of the high potential localities and mapping the porphyry copper ...
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Rabor area is located in 160 km south of Kerman city and 40 km east of Baft. There is some evidence illustrating some porphyry copper type mineralization, co-operated with tens of within Urumieh-Dokhtar volcanic belt stocks. Identification of the high potential localities and mapping the porphyry copper mineralization within these sites look very necessary. To aim for this goal, we aimed to identify the probable mineralization zones related porphyry copper mineralization alteration haloes in Rabor. In this research, by using the satellite image processing of ASTER sensor, applying the methods such as band ratioing, principal component analysis (PCA) and selective principal component analysis (Crosta) as well as the direct data from the Baft geological map (1:100000), available metallogenical theories and porphyry copper mineralization models, prepare images based on available clay mineral concentration maps from the region could provide evidences for an existence of a porphyry copper mineralization. Band ratioing was applied to discriminate the altered areas from the non-altered ones and also area lithology, porphyry copper deposit boundaries by identification of kaolinite, alunite and illite as indicator minerals within the studied area. Selective principal component analysis was also applied to produce the clay mineral concentration indicator maps to potential mining area recognition. Ore index cross matching called Pey Negin based recognition presumed area, demonstrates the selective principal component analysis method accuracy and its efficiency by using the satellite ASTER data from the altered area.