Geomechanical zonation using multivariate fractal modeling in Chadormalu iron mine, Central Iran

2022 ◽  
Vol 81 (1) ◽  
Author(s):  
Mahdi Mahdizadeh ◽  
Peyman Afzal ◽  
Mosleh Eftekhari ◽  
Kaveh Ahangari
Keyword(s):  
Central Iran ◽  
Fractal Modeling ◽  
Iron Mine

Delineation of seismic zonation using fractal modeling in West Yazd province, Central Iran

2018 ◽  
Vol 22 (6) ◽  
pp. 1377-1393 ◽  
Author(s):  
Peyman Afzal ◽  
Ahmad Adib ◽  
Naser Ebadati
Keyword(s):  
Central Iran ◽  
Seismic Zonation ◽  
Fractal Modeling

scholarly journals Identification of mineralized zones in the Zardu area, Kushk SEDEX deposit (Central Iran), based on geological and multifractal modeling

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Ahmad Heidari Dahooei ◽  
Peyman Afzal ◽  
Mohammad Lotfi ◽  
Alireza Jafarirad
Keyword(s):  
Massive Sulfide ◽  
Central Iran ◽  
Geochemical Data ◽  
High Grade ◽  
Geological Model ◽  
Fractal Modeling ◽  
Rock Types ◽  
Lead And Zinc ◽  
Lead Zinc ◽  
Ore Types

AbstractThe aim of this paper is to delineate the different lead–zinc mineralized zones in the Zardu area of the Kushk zinc–lead stratabound SEDEX deposit, Central Iran, through concentration–volume (C–V) modeling of geological and lithogeochemical drillcore data. The geological model demonstrated that the massive sulfide and pyrite+dolomite ore types as main rock types hosting mineralization. The C–V fractal modeling used lead, zinc and iron geochemical data to outline four types of mineralized zones, which were then compared to the mineralized rock types identified in the geological model. ‘Enriched’ mineralized zones contain lead and zinc values higher than 6.93% and 19.95%, respectively, with iron values lower than 12.02%. Areas where lead and zinc values were higher than 1.58% and 5.88%, respectively, and iron grades lower than 22% are labelled “high-grade” mineralized zones, and these zones are linked to massive sulfide and pyrite+dolomite lithologies of the geological model. Weakly mineralized zones, labelled ‘low-grade’ in the C– V model have 0–0.63% lead, 0–3.16% zinc and > 30.19% iron, and are correlated to those lithological units labeled as gangue in the geological model, including shales and dolomites, pyritized dolomites. Finally, a log-ratio matrix was employed to validate the results obtained and check correlations between the geological and fractal modeling. Using this method, a high overall accuracy (OA) was confirmed for the correlation between the enriched and high-grade mineralized zones and two lithological units — the massive sulfide and pyrite+dolomite ore types.

Fractal modeling and fry analysis of the relationship between structures and Cu mineralization in Saveh region, Central Iran

2019 ◽  
Vol 107 ◽  
pp. 172-185 ◽  
Author(s):  
Mirko Ahmadfaraj ◽  
Mirsaleh Mirmohammadi ◽  
Peyman Afzal ◽  
Amir Bijan Yasrebi ◽  
Emanuel John Carranza
Keyword(s):  
Central Iran ◽  
Fractal Modeling ◽  
Fry Analysis ◽  
The Relationship

scholarly journals Investigation of copper and gold prospects using index overlay integration method and multifractal modeling in Saveh 1:100,000 sheet, Central Iran

2015 ◽  
Vol 31 (4) ◽  
pp. 51-74 ◽  
Author(s):  
Somayeh Rezaei ◽  
Mohammad Lotfi ◽  
Peyman Afzal ◽  
Mohammad Reza Jafari ◽  
Mojtaba Shamseddin Meigoony ◽  
...  
Keyword(s):  
Inductively Coupled Plasma ◽  
Mineral Resources ◽  
Fractal Model ◽  
Central Iran ◽  
X Ray Diffraction ◽  
Secondary Products ◽  
Inductively Coupled ◽  
Fractal Modeling ◽  
Microscopic Studies ◽  
Index Overlay

Abstract This study aims at prospecting copper and gold promising areas in Saveh 1:100,000 sheet, situated in Urumieh-Dokhtar magmatic belt (Central Iran). Geographic information system (GIS) is effective in recognition of probable mineral resources by collecting, processing, exploration layer weighting and integrating thematic maps. As there is no certainty in different geological phenomena, modeling and integrating information layers are used to obtain suitable results for determining potential areas. In this study, index overlay method, which is a combination of software processing and expertise knowledge, was used. The survey layers consist of the lithologic units, geophysical data, mineralization, faults and structures and alteration. For more exact survey, concentration-area (C-A) fractal modeling was applied to the map of results obtained from integration. Applying fractal model to this map, the results of the original map were prioritized and became more limited. In the end for assessing the validity of determined promising areas, the results were compared with geochemical anomaly maps of stream sediments and also field observation was performed. Areas with high exploration priority with limited extend exist in center, west and some parts of NW, conformed to granodiorite intrusives and also next priority exists in center, west, NE and NW conformed to granite, diorite, and also subvolcanic rocks respectively. These prioroties are related to fault systems. In order to perform X-ray Diffraction (XRD), Inductively Coupled Plasma – Mass Sepctrometry (ICP-MS) analyses and microscopic studies, lithogeochemical samplings were done. All investigations indicate the possibility of pyrite, chalcopyrite and galena epithermal mineralizations resulted from post magmatic fluids, and also secondary products like hematite, goethite, and malachite as a result of oxidation processes in these areas.

Geochemical anomaly recognition of rare earth elements using multi-fractal modeling correlated with geological features, Central Iran

2017 ◽  
Vol 181 ◽  
pp. 318-332 ◽  
Author(s):  
Masoumeh Khalajmasoumi ◽  
Behnam Sadeghi ◽  
Emmanuel John M. Carranza ◽  
Martiya Sadeghi
Keyword(s):  
Rare Earth ◽  
Rare Earth Elements ◽  
Central Iran ◽  
Geochemical Anomaly ◽  
Fractal Modeling ◽  
Geological Features

Application of multivariate geostatistical simulation and fractal analysis for detection of rare earth elements (REEs) geochemical anomalies in Esfordi phosphate mine, Central Iran

2021 ◽  
pp. geochem2020-035
Author(s):  
Mojtaba Shamseddin Meigooni ◽  
Mohammad Lotfi ◽  
Peyman Afzal ◽  
Nima Nezafati ◽  
Maryam Kargar Razi
Keyword(s):  
Rare Earth ◽  
Rare Earth Elements ◽  
Central Iran ◽  
Geostatistical Simulation ◽  
Sequential Gaussian Simulation ◽  
Combined Approach ◽  
Fractal Modeling ◽  
Geochemical Anomalies ◽  
Phosphate Mine ◽  
Log Ratio

The present study was conducted to determine different geochemical anomalies of rare earth elements (REEs) using a combined approach of stepwise factor analysis (SFA), sequential Gaussian simulation (SGS) ,and concentration-area (C-A) fractal modeling based on surface lithogeochemical samples obtained from the Esfordi phosphate mine (Central Iran). The Esfordi mine is one of the important mines in Bafq metallogenic zone due to average and maximum grade of 0.5 and 1.7%, respectively for REEs. According to SFA operation in two steps, the REEs were placed in the first factor of the second stage (F1-2). Then, the SGS method and C-A fractal modeling were performed on F1-2 factor scores for classification of anomalies. Log-ratio matrix was used to evaluate the correlation of these results with anomalous lithogeochemical samples, as well as to determine the relationship of anomalies with rock types and mineralized units and finally, to validate the results of SGS-fractal modeling. The results confirmed an appropriate correlation between F1-2 anomalies and high-concentration in further rock samples. The main anomalies were found to have good correlation with apatite-iron unit and in general with other apatite-bearing units based on overall accuracy values. The apatite-bearing units with high values of REEs were located in northern and central parts of the mine. The results of combined approach of SFA, SGS, and C-A fractal modeling showed that this hybrid approach can be useful in determining anomalies with proper accuracy.

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