Classification of pyrite types using fractal and stepwise factor analyses in the Chah Zard gold-silver epithermal deposit, Central Iran

IF 1 4区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS
H. Kouhestani, M. Ghaderi, P. Afzal, K. Zaw
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引用次数: 13

Abstract

The major target of this research is the classification of pyrite types using fractal and stepwise factor analyses in the Chah Zard ore deposit, Central Iran. The ore occurs within a breccia/vein type and the major ore mineral hosting gold mineralization is pyrite. In this study, data were selected using optical, scanning electron microscopy (SEM) and backscattered electron observations as well as laser ablation-inductively coupled plasma–mass spectrometry (LA-ICP–MS) analysis. Conventional interpretations represent four gold-bearing pyrite types of various textures including fractured and porous Py1, oscillatory-rimmed and simple-zoned Py2, colloform Py3 and inclusion-rich Py4. The stepwise factor process was performed on the centred log ratio (clr) transformed data in two phases and Au was grouped with As, Te, Ni and Co in the second factor from the second stage (F2-2). Also, C-N fractal modelling was performed on the As, Au, Te and F2-2 values, all of which demonstrate multifractal nature. Four populations were separated based on F2-2 values and the C-N log–log plot. The main gold mineralization starts from 32 ppm, 2.8%, 7.94 ppm and 1.26 for Au, As, Te concentrations and F2-2, respectively, based on the C-N fractal modelling. These values are correlated with inclusion-rich Py4 and simple-zoned and oscillatory-rimmed Py2. The results obtained in this study show that fractal interpretation of LA-ICP–MS data by stepwise factor analysis may provide a suitable tool for the recognition of ore mineralization in epithermal gold deposits.
伊朗中部Chah Zard金银浅成热液矿床黄铁矿类型分形与逐步因子分析
本研究的主要目标是利用分形和逐步因子分析对伊朗中部查扎德矿床的黄铁矿类型进行分类。矿石赋存于角砾岩/脉状矿石中,含金矿物主要为黄铁矿。本研究采用光学、扫描电子显微镜(SEM)和背散射电子观察以及激光烧蚀-电感耦合等离子体质谱(LA-ICP-MS)分析数据。传统的解释代表了4种不同结构的含金黄铁矿类型,包括裂隙型和多孔型Py1、振荡边缘型和单带型Py2、胶状Py3和富包裹体Py4。对两个阶段的中心对数比(clr)转换数据进行逐步因子处理,并将Au与第二阶段(F2-2)的第二个因子中的As, Te, Ni和Co分组。对As、Au、Te和F2-2值进行了C-N分形建模,均表现出多重分形特征。根据F2-2值和C-N对数-对数图划分4个种群。根据C-N分形模型,Au、As、Te和F2-2浓度分别为32 ppm、2.8%、7.94 ppm和1.26 ppm时主要金矿化。这些值与富含包裹体的Py4和简单带状和振荡边缘的Py2相关。研究结果表明,利用逐步因子分析对LA-ICP-MS数据进行分形解释,可为浅成热液型金矿床的成矿作用识别提供一种合适的工具。
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来源期刊
Geochemistry-Exploration Environment Analysis
Geochemistry-Exploration Environment Analysis 地学-地球化学与地球物理
CiteScore
3.60
自引率
16.70%
发文量
30
审稿时长
1 months
期刊介绍: Geochemistry: Exploration, Environment, Analysis (GEEA) is a co-owned journal of the Geological Society of London and the Association of Applied Geochemists (AAG). GEEA focuses on mineral exploration using geochemistry; related fields also covered include geoanalysis, the development of methods and techniques used to analyse geochemical materials such as rocks, soils, sediments, waters and vegetation, and environmental issues associated with mining and source apportionment. GEEA is well-known for its thematic sets on hot topics and regularly publishes papers from the biennial International Applied Geochemistry Symposium (IAGS). Papers that seek to integrate geological, geochemical and geophysical methods of exploration are particularly welcome, as are those that concern geochemical mapping and those that comprise case histories. Given the many links between exploration and environmental geochemistry, the journal encourages the exchange of concepts and data; in particular, to differentiate various sources of elements. GEEA publishes research articles; discussion papers; book reviews; editorial content and thematic sets.
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