Determination of mineralization stages using correlation between geochemical fractal modeling and geological data in Arabshah sedimentary rock-hosted epithermal gold deposit, NW Iran

Afzal, Peyman; Heidari, Seyed Mehran; Ghaderi, Majid; Yasrebi, Amir Bijan

doi:10.1016/j.oregeorev.2017.09.021

Cited by 36 publications

(4 citation statements)

References 67 publications

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“…This magmatic belt is a key metallogenic province that hosts several epithermal gold deposits in Iran, including Dashkasan (Kouhestani et al, 2012), Zarshuran (Mehrabi et al, 1999;Tale Fazel et al, 2023), QolQoleh (Aliyari et al, 2009), Miverood, Aghdareh (Daliran et al, 2002), and Arab Shah (Afzal et al, 2017). The region's bedrock primarily consists of Jurassic limestone and some clastic sediments and metamorphic rocks.…”

Section: Geological Settingmentioning

confidence: 99%

Assessment of acid rock drainage potential of waste rocks at the Sariguney epithermal gold deposit, Gorveh, Western Iran: implications for static and kinetic tests

Siahcheshm,

Aghdam,

Kadkhodaee

et al. 2024

Preprint

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The significant presence of sulfide mineralization within the Sariguney gold deposit raises environmental concerns due to the exposure of waste rock and tailings to atmospheric conditions during mining and ore processing. This exposure leads to a process that poses a threat to local ecosystems and water quality. This study evaluates the potential for Acid Rock Drainage (ARD) from Sariguney's sulfidic rocks using established ARD prediction techniques. These include static methods such as Standard Acid Base Accounting (ABA) and kinetic methods such as Acid Buffering Characteristic Curves (ABCC) and Kinetic Net Acid Generation (NAG) through the monitoring of pH and temperature profiles. To achieve this, 185 drill core intervals from ore, low-grade (LG), and waste samples were subjected to geochemical and mineralogical analyses. Based on their Net Acid Production Potential (NAPP) and NAG pH values, 31% of waste samples were classified as high acid rock (High-PAF), 13% as acid rock (PAF), and 56% as neutral rock (NAF). The Ore, LG and waste samples have average sulfur values of 2.6, 1.3 and 0.9 (wt.%) and NAPP values of 77, 32 and 18, respectively. The results indicate that ore-grade material has a significant sulfur content, little if any ANC, and a high acid generating potential. Approximately two-thirds of the LG ore samples were classified as High-PAF with low ANC availability would have a relatively short lag prior to acidification. Most of the NAF samples in waste rocks contained < 0.5 %S. (typically ANC <15 kg H2SO4/t) but expected that the higher ANC materials would provide some ARD control if blended with acid generating rock within waste dumps. Overall, approximately more than two-thirds of the samples tested had ANCs<10 kg H2SO4/t, which means most rock will have the capacity to neutralize the acid potential of less than 0.3 %S as pyrite and if blended with acid generating waste, will provide little additional neutralizing capacity and will simply dilute the acid waste.

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Section: Geological Settingmentioning

confidence: 99%

Assessment of acid rock drainage potential of waste rocks at the Sariguney epithermal gold deposit, Gorveh, Western Iran: implications for static and kinetic tests

Siahcheshm,

Aghdam,

Kadkhodaee

et al. 2024

Preprint

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“…The existing studies focus on the geological analysis using existing GIS approaches, plotting stratigraphic columns and statistical graphs for spatial data visualization (Koshnaw et al, 2020;Mouthereau et al, 2007), geologic modelling data using in-situ experiments Heidari et al (2021); Hosseini et al (2021); Lindh and Lemenkova (2022c); Soleimani and Jodeiri Shokri (2016), geochemical data analysis Afzal et al (2017); Lindh and Lemenkova (2022a); Mokhtari and Sadeghi (2021) and do not deal with a detailed explanation of scripting techniques of the geological mapping. As a consequence, they either lack detailed explanation of the techniques of cartographic data visualization (Tavani et al, 2018) or have limited use of scripting in geologic modelling (Lemenkov and Lemenkova, 2021).…”

Section: Related Workmentioning

confidence: 99%

A Script-Driven Approach to Mapping Satellite-Derived Topography and Gravity Data Over the Zagros Fold-and-Thrust Belt, Iran

Lemenkova

2022

Artificial Satellites

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Integrated geophysical mapping benefits from visualizing multi-source datasets including gravity and satellite altimetry data using 2D and 3D techniques. Applying scripting cartographic approach by R language and GMT supported by traditional mapping in QGIS is presented in this paper with a case study of Iranian geomorphology and a special focus on Zagros Fold-and-Thrust Belt, a unique landform of the country affected by complex geodynamic structure. Several modules of GMT and ’tmap’ and ’raster’ packages of R language were shown to illustrate the efficiency of the console-based mapping by scripts. Data sources included high-resolution raster grids of GEBCO/SRTM, EGM-2008, SRTM DEM and vector geologic layers of USGS. The cartographic objective was to visualize thematic maps of Iran: topography, geology, satellite-derived gravity anomalies, geoid undulations and geomorphology. Various cartographic techniques were applied to plot the geophysical and topographic field gradients and categorical variations in geological structures and relief along the Zagros Fold-and-Thrust Belt. The structures of Elburz, Zagros, Kopet Dag and Makran slopes, Dasht-e Kavir, Dasht-e Lut and Great Salt Desert were visualized using 3D-and 2D techniques. The geomorphometric properties (slope, aspect, hillshade, elevations) were modelled by R. The study presented a series of 11 new maps made using a combination of scripting techniques and GIS for comparative geological-geophysical analysis. Listings of R and GMT scripting are provided for repeatability.

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“…Clustering is the classification of objects into different groups, or more precisely, the partitioning of a data set into subsets (clusters), so that the data in each subset could share some common similarity according to some defined distance measure [3,4,12,31]. Factor analysis takes as input a large number of variables and describes them with small number of factors in order to reduce the data dimension [1,2,18,20]. Appropriate factors should provide an easy interpretation of the data to make geological sense.…”

Section: Hierarchical Clustering and R-mode Analysismentioning

confidence: 99%

Classification of rock types using multivariate analysis in the Dezak area, SW Iran

et al. 2020

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The geochemical multivariate techniques were applied to recognize different geological units and categorized rock types which accompanied by different penalties. Knowing changes and classification of raw materials with macroscopic and microscopic quantification have direct effect on economic and efficiency in a precipitated calcium carbonate plant. Based on lithological changes, the Darian Formation was divided into four rock units based on a total of 492 chip samples collected from the study area. The main aim objective of this study was to classify the rock types in this area using a multivariate analysis combining the R-mode factor analysis and K-Means method. Due to the opposite vector orientation of SiO

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Determination of mineralization stages using correlation between geochemical fractal modeling and geological data in Arabshah sedimentary rock-hosted epithermal gold deposit, NW Iran

Cited by 36 publications

References 67 publications

Assessment of acid rock drainage potential of waste rocks at the Sariguney epithermal gold deposit, Gorveh, Western Iran: implications for static and kinetic tests

Assessment of acid rock drainage potential of waste rocks at the Sariguney epithermal gold deposit, Gorveh, Western Iran: implications for static and kinetic tests

A Script-Driven Approach to Mapping Satellite-Derived Topography and Gravity Data Over the Zagros Fold-and-Thrust Belt, Iran

Classification of rock types using multivariate analysis in the Dezak area, SW Iran

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