A fractal relationship between vein thickness and gold grade in drill core from La Codosera, Spain

Sanderson, David J.; Roberts, Stephen; Gumiel, Pablo

doi:10.2113/gsecongeo.89.1.168

Cited by 120 publications

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“…Based on the model, Agterberg (1995) proposed a multifractal model named size-grade for determination of the spatial distributions of giant and super-giant ore deposits. Monecke et al, (2005) concentrations and cumulative number of samples with those attributes (Li et al, 1994;Sanderson et al, 1994;Shi & Wang, 1998;Turcotte, 1996;Zuo et al, 2009). The model is expressed by the following equation (Mandelbrot, 1983;Deng et al,.…”

Section: Number-size Fractal Methodsmentioning

confidence: 99%

“…Fractal theory has been established by Mandelbrot (1983) as an important non-Euclidean branch in geometry. Several methods have been proposed and developed based on fractal geometry for application in geosciences since the 1980s (Agterberg et al, 1993;Sanderson et al, 1994;Cheng, 1999;Turcotte, 1997Turcotte, , 2002Goncalves et al, 2001;Monecke et al, 2005;Gumiel et al, 2010;Afzal et al, 2010b;Zuo, 2011;Sadeghi et al, 2012). The present study is based on the integration of remote sensing techniques and geochemical data analysis (stream sediment and litho geochemical samples) and as well as geological field verification studies to identify Au, Ag and As prospects in the Chartagh, north-west iran.…”

Section: Introductionmentioning

confidence: 99%

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Introducing Au Potential Areas, Using Remote Sensing and Geochemical Data Processing Using Fractal Methods in Chartagh, Western Azerbijan – Iran

Mansouri¹,

Feizi²

2016

Archives of Mining Sciences

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The studied area -Chartagh -is located in the East of Azerbaijan gharbi Province, Iran. In this paper, geology map, ASTER satellite images were used and after processing these images with ENVI softwares, geochemical data analysis consisting of lithogeochemical samples, within geological field observations. On ASTER data; using a number of selected methods including band ratio, Minimum Noise Fraction (MNF) and Spectral Angle Maper (SAM) distinguished alternation zones. Geochemical anomalies were separated by number -size (N-S) fractal method. (N-S) fractal method was utilized for High intensive Au, As and Ag anomalies.

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Section: Number-size Fractal Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Introducing Au Potential Areas, Using Remote Sensing and Geochemical Data Processing Using Fractal Methods in Chartagh, Western Azerbijan – Iran

Mansouri¹,

Feizi²

2016

Archives of Mining Sciences

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“…Monecke et al, (2005) used the N-S fractal model to characterize element enrichments associated with metasomatic processes during the formation of hydrothermal ores in the Waterloo massive sulfide deposit, Australia. A power-law frequency model has been proposed to describe the N-S relationship according to the frequency distribution of element concentrations and cumulative number of samples with those attributes (Li et al, 1994;Sanderson et al, 1994;Shi & Wang, 1998;Turcotte, 1996;Zuo et al, 2009). The model is expressed by the following equation (Mandelbrot, 1983;Deng et al,.…”

Section: Number-size Fractal Methodsmentioning

confidence: 99%

“…Fractal theory has been established by Mandelbrot (1983) as an important non-Euclidean branch in geometry. Several methods have been proposed and developed based on fractal geometry for application in geosciences since the 1980s (Agterberg et al, 1993;Sanderson et al, 1994;Cheng, 1999;Turcotte, 1997Turcotte, , 2002Goncalves et al, 2001;Monecke et al, 2005;Gumiel et al, 2010;Afzal et al, 2010b;Zuo, 2011;Sadeghi et al, 2012). The present study is based on the integration of remote sensing techniques and geochemical data analysis (stream sediment and lithogeochemical samples), as well as geological field verification and mineralographical studies to identify Cu prospects in the Abhar 1:100,000 sheet, NW Iran.…”

Section: Introductionmentioning

confidence: 99%

Prospection for Copper Mineralization With Contribution of Remote Sensing, Geochemical and Mineralographical Data in Abhar 1:100,000 Sheet, Nw Iran / Poszukiwania Zasobów Rud Miedzi Z Zastosowaniem Zdalnych Technik Wykorzystujących Dane Geochemiczne I Mineralogiczne W Pokładzie Geologicznym Abhar 1:100,000 W Północno-Zachodnim Iranie

Nouri¹,

Jafari²,

Arian³

et al. 2013

Archives of Mining Sciences

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POSZUKIWANIA ZASOBÓW RUD MIEDZI Z ZASTOSOWANIEM ZDALNYCH TECHNIK WYKORZYSTUJĄCYCH DANE GEOCHEMICZNE I MINERALOGICZNE W POKŁADZIE GEOLOGICZNYM ABHAR 1:100,000 W PÓŁNOCNO-ZACHODNIM IRANIEAbhar 1:100,000 sheet is located within the Cenozoic Tarom volcano-plutonic belt, NW Iran. The present study is based on the integration of remote sensing techniques on Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), geochemical data analysis consisting of stream sediment and lithogeochemical samples, within geological field observations and mineralographical studies to identify Cu prospect. On ASTER data; using a number of selected methods including band ratio, Least Square Fit (LS-Fit) and Minimum Noise Fraction (MNF) distinguished alternation zones. These methods revealed that three types of alterations: argillic, phyllic, and iron oxide zones occurring at the NE and SE of Abhar sheet, while the propylitic and silica zones are developed in NW and SW of the studied area. Lineaments were identified by aid of false color composite, high pass filters and hill-shade DEM techniques that two NW-SE and NE-SW major trends were determined. Geochemical anomalies were separated by number-size (N-S) method. Interpretation of N-S log-log plots of Cu in the area may be a result of the three steps of enrichment, i.e., mineralization and later dispersions. Field checks and Mineralgraphical studies also confirm the existence of suitable copper mineralization.Keywords: Alteration zones, ASTER, Geochemical data, Abhar, Iran Pokład geologiczny Abhar 1:100,100 zlokalizowany jest w obrębie kenozoicznego pasa skał magmowych pochodzenia wulkanicznego Tarom w północno-zachodnim Iranie. W pracy przedstawiono połączenie zastosowań metod zdalnych wykorzystujących technologię ASTER (Advanced Spaceborne Thermal Emission and Refelection Radiometer), analizę danych geochemicznych zebranych na podstawie osadów dennych ze strumieni oraz próbek skał w obrębie pola obserwacji a także danych mineralogicznych w celu rozpoznania skupisk rud miedzi. Na podstawie danych uzyskanych przy użyciu technologii 1072ASTER i poddanych obróbce przy użyciu różnorodnych technik: badanie układu pasm, dopasowanie metodę najmniejszych kwadratów oraz minimalny współczynnik szumów, rozróżniono strefy przeobrażeń skał. Metody te pozwoliły na wykrycie trzech typów skał przeobrażonych: gliniaste, łupki ilasto-mikowe oraz strefy występowania tlenków żelaza występujące na północno-wschodnich (NE) i południowo--zachodnich (NW) krańcach pasa Abhar. W części północno-zachodnie (NW) i południowo-zachodniej (SW) badanego obszaru stwierdzono występowanie stref propilitu i krzemianów. Lineacje wykryto przy pomocy metody badania zakresu barw, filtrów wysoko-przepustowych, techniki określania wysokości, na tej podstawie określono dwa główne trendy: NW-SE oraz NE-SW. Anomalie geologiczne wydzielono za pomocą metody N-S (liczba-wymiar). Interpretacja wykresów N-S wykonanych w skali logarytmicznej wykazała, że zaobserwowany układ może być wynikiem trzech etapów wzbogacania: min...

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“…Fractal theory has been established by Mandelbrot (1983) as an important non-Euclidean branch in geometry. Several methods and models have been proposed and developed based on fractal geometry for application in the geosciences since the 1980s (Agterberg et al 1993;Sanderson et al 1994;Cheng 1999;Turcotte 1997Turcotte , 2002Gonçalves et al 2001;Monecke et al 2005;Gumiel et al 2010;Afzal et al 2011;Zuo 2011;Sadeghi et al 2012;Yasrebi et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Correlation between Cu mineralization and major faults using multifractal modelling in the Tarom area (NW Iran)

Nouri¹,

Jafari²,

Arian³

et al. 2013

Geologica Carpathica

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Abstract:The Tarom 1: 100,000 sheet is located within the Cenozoic Tarom-Hashtjin volcano-plutonic belt, NW Iran. Reconstruction of the tectonic and structural setting of the hydrothermal deposits is fundamental to predictive models of different ore deposits. Since fractal/multifractal modelling is an effective instrument for separation of geological and mineralized zones from background, therefore Concentration-Distance to Major Fault (C-DMF) fractal model and distribution of Cu anomalies were used to classify Cu mineralizations according to their distance to major faults. Application of the C-DMF model for the classification of Cu mineralization in the Tarom 1: 100,000 sheet reveals that the main copper mineralizations have a strong correlation with their distance to major faults in the area. The distances of known copper mineralizations having Cu values higher than 2.2 % to major faults are less than 10 km showing a positive correlation between Cu mineralization and tectonic events. Moreover, extreme and high Cu anomalies based on stream sediments and lithogeochemical data were identified by the Number-Size (N-S) fractal model. These anomalies have distances to major faults less than 10 km and validate the results derived via the C-DMF fractal model. The C-DMF fractal modelling can be utilized for the reconnaissance and prospecting of magmatic and hydrothermal deposits.

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A fractal relationship between vein thickness and gold grade in drill core from La Codosera, Spain

Cited by 120 publications

References 0 publications

Introducing Au Potential Areas, Using Remote Sensing and Geochemical Data Processing Using Fractal Methods in Chartagh, Western Azerbijan – Iran

Introducing Au Potential Areas, Using Remote Sensing and Geochemical Data Processing Using Fractal Methods in Chartagh, Western Azerbijan – Iran

Correlation between Cu mineralization and major faults using multifractal modelling in the Tarom area (NW Iran)

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