Analysis of the fractal clustering of ore deposits in the Spanish Iberian Pyrite Belt

被引:80
作者
Gumiel, P. [1 ,2 ]
Sanderson, D. J. [3 ]
Arias, M. [2 ]
Roberts, S. [4 ]
Martin-Izard, A. [5 ]
机构
[1] IGME, Dept Mineral Resources Res, Madrid 28003, Spain
[2] Univ Alcala, Dept Geol, Madrid 28871, Spain
[3] Univ Southampton, Sch Civil Engn & Environm, Southampton SO17 1BJ, Hants, England
[4] Univ Southampton, Natl Oceanog Ctr, Southampton SO14 3ZH, Hants, England
[5] Univ Oviedo, Dept Geol, Asturias 33005, Spain
关键词
Fractal; Multifractal; Mineral exploration; Stockwork; Iberian Pyrite Belt; MASSIVE SULFIDE DEPOSITS; FRACTURED ROCK MASSES; PROSPECTIVITY; GEOMETRY; SYSTEMS;
D O I
10.1016/j.oregeorev.2010.08.001
中图分类号
P5 [地质学];
学科分类号
070403 [天体物理学];
摘要
The Iberian Pyrite Belt (IPB) contains one of the greatest known concentrations of volcanic-hosted massive sulfides (VHMS) on Earth. Investigation of the spatial attributes of the mineralization using fractal methods, over a range of scales, and integrated within a GIS provides new information, of potential import to the exploration of VHMS deposits. At the mine-scale, stockworks, which act as feeders for hydrothermal fluids. show vein thickness distributions that are power-law (D-t approximate to 0.65 in one dimension) at length scales from about 10(-2) to 10(2) m. Box-counting of veins indicates a capacity dimension (D-c) in the range of 1.60-1.65 in two dimensions, which is consistent with the vein thickness data. At larger scales, in the range 10(3) to 10(5)m, the distribution of mines and mineral prospects can be modelled as a fractal dust. When all the known mineral deposits and prospects are analyzed they have a capacity dimension D-c approximate to 1.3. The VHMS deposits alone have a capacity dimension D-c approximate to 0.9, indicating that they are clustered, with some indication that the 'world-class' deposits may be even more clustered. The different fractal analyses are integrated with information from geological and geophysical maps using a GIS. The distribution of prospects has been simulated using a simple multifractal model of the ore concentration and is constrained by known geological controls. Such a model has been implemented through the GIS. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:307 / 318
页数:12
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