M Shademan; A.R Arab-Amiri; H Kheyrollahi; D Rajabi
Abstract
Frequency Domain Electromagnetic surveys are being used for various applications like mineral and water exploration, environmental hazards and buried human-made materials because of its resolution and fast acquisition for low depth targets. Resistivity and its depth for each frequency could be calculated ...
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Frequency Domain Electromagnetic surveys are being used for various applications like mineral and water exploration, environmental hazards and buried human-made materials because of its resolution and fast acquisition for low depth targets. Resistivity and its depth for each frequency could be calculated in a simpler approach and shorter time than Iterative Inversion Method, Called Straight or Fast Inversion Methods, by assuming earth as a homogeneous half space. Barika’s Anomaly situated in Alut Geology 1:100,000 sheets in west Azerbaijan is studied in order to prospect gold_ lead mineralization which has been detected in systematic geochemical and litho-geochemical surveys. In this paper we studied different Fast Inversion algorithms for synthetic data then applied the best method for real data. Resistivity distribution for each frequency produced and appropriate interpretation according to geology acquired. The results showed that there is a good correlation between low resistivity and shear zones. Also geology map can be modified with higher frequency resistivity.
M Shademan; B Tokhmechi
Abstract
Nowadays GIS techniques are used as a conventional tool for integrating geographic information datasets. In these methods, integration is done according to quality and quantity of datasets and using appropriate weighting approaches. Finally, with Classification methods like Geometric Distances, Mineral ...
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Nowadays GIS techniques are used as a conventional tool for integrating geographic information datasets. In these methods, integration is done according to quality and quantity of datasets and using appropriate weighting approaches. Finally, with Classification methods like Geometric Distances, Mineral Potential Maps (MPM) is produced. By increasing application in data processing, clustering methods classify samples into groups by similarity between them. In this paper, K_ Means and Fuzzy K_ Means clustering methods are discussed for mapping potential zones of Gold mineralization, then the results are compared with GIS method, Index Overlaying, for the Barika area in 1:100,000 Alut Sheet in South of Azerbaijan. In the Barika area, information of drilling points aren’t available, so it’s not possible to determine number of classes and boundaries of each class for final score map, but in clustering methods, the optimum number of class for output map is done automatically and is tested for the Barika Anomaly data. The results show that clustering methods need no weighting and it’s possible to use it with low information than GIS_ based method. The results also show that both of approaches, clustering methods and Index overlaying, display almost an equal area for the most potential zone, however clustering methods need low information for analyzing, but in Index overlaying, it is needed to have more information for weighting and determining threshold for classification of final scores.
