Identifying high potential area of porphyry copper mineralization using the daptive fuzzy neural network method in the study area of Shahre-Babak studied area, Kerman province

Authors

1 mineral exploration, mine faculty, AmirKabir University, Tehran, Iran

2 Department of Mineral Exploration, Faculty of Mine, Amir Kabir university, Tehran, Iran

3 Phd student in mineral exploration, Tehran university, Tehran, Iran

4 Khavaran Kavesh Zahid Consulting Engineers Co

Abstract

In this research, the adaptive neuro fuzzy method (ANFIS method) has been used to determine porphyry copper potential in the study area of Shahre- Babak in the magmatic belt of Urmia- Dokhtar. In this method, by relying on training points obtained from mineralization outcrops with index number one and non-mineralization points obtained from point pattern analysis method with zero index, an attempt was made to improve the performance of fuzzy neural model. Input data in this research include (1) plutonic igneous units related to porphyry copper mineralization (2) volcanic igneous units (3) faults (4) geochemical signature of copper element (5) geochemical signature of factor analysis (factor 1) (6Reduction to pole of aeromagnetic data (7) argillic alteration (8) phyllic alteration (9) iron oxide alteration (Gosan zone) (10) Digital elevation model of the studied area. After the rasterization of the mentioned data, fuzzy transformations were performed to generate same scale data. Then the fuzzy data obtained from the mineralized and non-mineralized points were extracted and entered into the MATLAB software environment to create a training model using the adaptive fuzzy neural network method. The mean square error was used to validate the model. The RMSE for training and testing data were 8.23 e-06 and 1.07 e-06 . Finally, the result of training model was implemented on the data of the Shahre- Babak studied area and the final porphyry copper mineralization model was produced. Based on the generated model, the high potential areas are located in the western and parts of eastern area.

Keywords

Main Subjects

References

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Advanced Applied Geology
Volume 14, Issue 1
April 2024
Pages 44-62

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