Self-similar fractal analysis of gold mineralization of Dayingezhuang disseminated-veinlet deposit in Jiaodong gold province, China

Deng, Jun; Wang, Qingfei; Wan, Li; Yang, Liqiang; Gong, Qingjie; Zhao, Jie; Liu, Huan

doi:10.1016/j.gexplo.2009.03.003

Cited by 86 publications

(29 citation statements)

References 40 publications

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“…And the gold ore deposit is with 3000m in length, 30m~140m in width; moreover, ore bodies of altered rocks extend like sloping wave in a strike and in trend. The reserves of the Dayingezhuang are more than 100 t, with an estimated annual production greater than 2.6 t [12][13][14].…”

Section: A Data Acquisition and Descriptive Statisticsmentioning

confidence: 99%

Analysis on Phase Space Reconstruction and Chaotic Characteristic of Element Concentration Series of Gold Deposit

Wan¹,

Zhu²,

Deng³

2015

Advances in Intelligent Systems Research

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Section: A Data Acquisition and Descriptive Statisticsmentioning

confidence: 99%

Analysis on Phase Space Reconstruction and Chaotic Characteristic of Element Concentration Series of Gold Deposit

Wan¹,

Zhu²,

Deng³

2015

Advances in Intelligent Systems Research

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“…The explored ore-bodies with irregular shape, embedded primarily in the fractural-altered rocks under the main fractural plane of the Zhaoyuan-Pingdu fault, distributed within the exploration lines 66 and 84 between the levels -26m and -492m. The main explored levels are140m, -175m, -210m, -290m [17,18,19].…”

Section: Geological Settingsmentioning

confidence: 99%

Study o f Local Mineralized Intensity Using Rescaled Range Analysis and Lacunarity Analysis

Wan¹,

Xie²,

Hu³

2013

JESTR

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In this paper, the gold grade series along drifts have been analyzed using two methods, rescaled range analysis and lacunarity analysis which are commonly used in nonlinear systems analysis. The aim of this study is to better understand the ore-forming processes and identify the local mineralized intensity and interactions that influence the spatial structure of gold element grade distribution, in the Dayingezhuang fault-controlled, disseminated-veinlet gold deposit in the Jiaodong gold province, eastern China. The result shows that the efficiency of two methods, in distinguishing between weakly mineralized, moderately mineralized and intensely mineralized of ore-forming area. It is obvious that the two parameters of both Hurst and lacunarity index in the weakly mineralized drifts are distinguished from those in the mineralized drifts, and the lower the index is, the more homogeneously distributed of the elements and the mineral intensity is relatively smaller. The methods used in this paper provide a relatively comprehensive description for local mineral intensity, offering an evidence for the identification of mineralization intensity and providing a guidance for further determination to the extent of deposit concentration and delineation of target mineralization zone.

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“…452 Q. F. Wang et al: Number-average size model for geological systems analyzed. The element concentrations of the samples can be described by the number-size model (Monecke et al, 2005;Deng et al, 2009;Wan et al, 2010). According to Wang et al (2010b), the tonnage-cutoff model can be derived from the number-size model of the element concentration distribution in a mineralization area and expressed as:…”

Section: Tonnage-grade Modelmentioning

confidence: 99%

“…As is proven above, the fractal dimension D m in the tonnage-grade model is equal to that in the tonnagecutoff model when D c >1, and the relationship D m ≈ 1 is applicable when D c < 1. Deng et al (2009) utilized the number-size model to analyze the distribution of the gold concentration of the channel samples in a disseminated-veinlet gold deposit, and discovered that the fractal dimension D s in the number-size model decreases with the increase of the orebody thickness. However,in Eq.…”

Section: Tonnage-grade Modelmentioning

confidence: 99%

Number-average size model for geological systems and its application in economic geology

Wang

Wan

Zhang

et al. 2011

Nonlin. Processes Geophys.

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Abstract.Various natural objects follow a number-size relationship in the fractal domain. In such relationship, the accumulative number of the objects beyond a given size shows a power-law relationship with the size. Yet in most cases, we also need to know the relationship between the accumulative number of the objects and their average size. A generalized number-size model and a number-average size model are constructed in this paper. In the number-average size model, the accumulative number shows a power-law relationship with the average size when the given size is much less than the maximum size of the objects. When the fractal dimension D s of the number-size model is smaller than 1, the fractal dimension D m of the number-average size model is almost equal to 1; and when D s > 1, the D m is approximately equal to D s . In mineral deposits, according to the numberaverage size model, the ore tonnage may show a fractal relationship with the grade, as the cutoff changes for a single ore deposit. This is demonstrated by a study of the relationship between tonnage and grade in the Reshuitang epithermal hotspring gold deposit, China.

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Self-similar fractal analysis of gold mineralization of Dayingezhuang disseminated-veinlet deposit in Jiaodong gold province, China

Cited by 86 publications

References 40 publications

Analysis on Phase Space Reconstruction and Chaotic Characteristic of Element Concentration Series of Gold Deposit

Analysis on Phase Space Reconstruction and Chaotic Characteristic of Element Concentration Series of Gold Deposit

Study o f Local Mineralized Intensity Using Rescaled Range Analysis and Lacunarity Analysis

Number-average size model for geological systems and its application in economic geology

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