Application of number–size (N-S) fractal model for separation of mineralized zones in Dareh-Ashki gold deposit, Muteh Complex, Central Iran

Mohammadi, Alireza; Khakzad, A; Omran, N Rashidnejad; Mahvi, Mohammad Reza; Moarefvand, Parviz; Afzal, Peyman

doi:10.1007/s12517-012-0662-y

Cited by 28 publications

(8 citation statements)

References 33 publications

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“…Fractal geometry is proposed by Mandelbrot (1983) Log-log plots are used while applying fractal models, where the straight line segments fitted the log-log graph have some break threshold points (Zuo 2011;Wang et al, 2011;Mohammadi et al, 2013).…”

Section: Concentration-number (C-n) Fractal Modelling Techniquementioning

confidence: 99%

Characterization of Ar-Rassafeh Badyieh area (Area-2), Syria by using the airborne gamma-ray spectrometric and fractal modelling techniques

Asfahani

2019

Contributions to Geophysics and Geodesy

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The available aerial gamma-ray spectrometric data of Ar-Rassafeh Badyieh area (Area-2) are used herein for geological interpretations and mapping purposes. Those data are interpreted by the concentration-number (C-N) fractal modelling technique, with the use of log-log graphs. According to C-N model, different radioactive ranges of TC, eU, eTh, and K have been isolated. Those ranges are thereafter used to characterize the lithological outcrops in the study area. The radioactive signatures of all the outcrops in Area-2 have been discussed and documented through establishing the C-N maps of TC, eU, eTh, and K, and benefiting of the available geological map. The C-N fractal modelling technique proves its efficacy, where radioactive and lithological boundaries of outcrops are in concordance. The case study presented in this paper shows the importance and the role of airborne gamma-ray spectrometric and fractal modelling techniques to support the geological mapping and the interpretations in geological context, particularly when the study region is rugged and difficult to be accessed.

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Section: Concentration-number (C-n) Fractal Modelling Techniquementioning

confidence: 99%

Characterization of Ar-Rassafeh Badyieh area (Area-2), Syria by using the airborne gamma-ray spectrometric and fractal modelling techniques

Asfahani

2019

Contributions to Geophysics and Geodesy

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“…To demonstrate and prove that data distribution has a multifractal nature requires a rather extensive computation. There is not any relationship between data distribution and fractal/multifractal modelling (Mandelbrot, 1983;Afzal et al, 2010;Mohammadi et al, 2013).…”

Section: Contentsmentioning

confidence: 99%

Dere Sedi̇mani Veri̇leri̇ne “Fraktal Model” Ve “Faktör Anali̇zi̇” Uygulanarak Cr Mi̇nerali̇zasyonunun Tanimlanmasi: Khoy 1:100.000 Paftasi, Kb İran

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Afzal

et al. 2016

Maden Tetkik Ve Arama Dergisi

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Fractal methods are regarded as a highly efficient method for more accurate separation of boundaries between mineralized zone in shallow and deep studies. In this research, concentration-number (C-N) and concentration-area (C-A) fractal methods were used in order to identify promising areas of the elements like Cr, Co and Ni in the Khoy 1:100.000 geological mapping sheet, NW Iran. The factor analysis was performed on the elements, and factors, which were related to the elements, were isolated and studied by both fractal methods. The current geological locations of the extreme anomalies were investigated and the results showed a very close relationship and overlapping. The results of the presented models show that the most elements under study are located in the central and southwestern parts of the sheet. From the point of view of the lithology, these areas correspond to the serpentinite ultramafic units of harzburgite and dunite, and as a result, there is a high probability of Cr mineralization. The achieved results are confirmed by factor analysis. This means that a factor accumulation of these elements is exactly the same as those of each element.

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“…In other words, this method uses all initial data without changing of raw. The N-S log-log plots versus ρ show straight line segments with different slopes −β fitting to different concentration intervals (Mandelbrot 1983;Hashemi and Afzal 2013;Mohammadi et al 2013;Hosseini et al 2014). …”

Section: Concentration-number Fractal Modelmentioning

confidence: 99%

Prospecting of Ni mineralization using fractal models based on lithogeochemical data in Patang area, Eastern Iran

et al. 2015

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The aim of this study is to delineate the main Ni geochemical anomalies using concentration-perimeter (C-P) and concentration-number (C-N) fractal modeling based on lithogeochemical data in the Patang area, Eastern Iran. Results obtained by the C-P and C-N fractal modeling revealed that the extreme and high anomalies for Ni are located in the SE and NW parts of the studied area, which is associated with ultrabasic rocks especially peridotite and serpentinized harzburgites with an intensive lisvenitic alteration. Correlation between the main anomalies in the SE part of the area and mineralographical data indicated that there are high Ni values with respect to ore minerals including nickelite and ullmannite. Furthermore, results derived via the C-N fractal modeling revealed that the low intensive anomalies for Ni occur in the central parts of the area. Moreover, the main prospects for Ni are located in the SE and NW parts of the area suggesting that a detailed exploration should be conducted.

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Application of number–size (N-S) fractal model for separation of mineralized zones in Dareh-Ashki gold deposit, Muteh Complex, Central Iran

Cited by 28 publications

References 33 publications

Characterization of Ar-Rassafeh Badyieh area (Area-2), Syria by using the airborne gamma-ray spectrometric and fractal modelling techniques

Characterization of Ar-Rassafeh Badyieh area (Area-2), Syria by using the airborne gamma-ray spectrometric and fractal modelling techniques

Dere Sedi̇mani Veri̇leri̇ne “Fraktal Model” Ve “Faktör Anali̇zi̇” Uygulanarak Cr Mi̇nerali̇zasyonunun Tanimlanmasi: Khoy 1:100.000 Paftasi, Kb İran

Prospecting of Ni mineralization using fractal models based on lithogeochemical data in Patang area, Eastern Iran

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