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101.
The Ernest Henry Cu–Au deposit was formed within a zoned, post-peak metamorphic hydrothermal system that overprinted metamorphosed dacite, andesite and diorite (ca 1740–1660 Ma). The Ernest Henry hydrothermal system was formed by two cycles of sodic and potassic alteration where biotite–magnetite alteration produced in the first cycle formed ca 1514±24 Ma, whereas paragenetically later Na–Ca veining formed ca 1529 +11/−8 Ma. These new U–Pbtitanite age dates support textural evidence for incursion of hydrothermal fluids after the metamorphic peak, and overlap with earlier estimates for the timing of Cu–Au mineralization (ca 1540–1500 Ma). A distal to proximal potassic alteration zone correlates with a large (up to 1.5 km) K–Fe–Mn–Ba enriched alteration zone that overprints earlier sodic alteration. Mass balance analysis indicates that K–Fe–Mn–Ba alteration—largely produced during pre-ore biotite- and magnetite-rich alteration—is associated with K–Rb–Cl–Ba–Fe–Mn and As enrichment and Na, Ca and Sr depletion. The aforementioned chemical exchange almost precisely counterbalances the mass changes associated with regional Na–Ca alteration. This initial transition from sodic to potassic alteration may have been formed during the evolution of a single fluid that evolved via alkali exchange during progressive fluid-rock interaction. Cu–Au ore, dominated by co-precipitated magnetite, minor specular hematite, and chalcopyrite as breccia matrix, forms a pipe-like body at the core of a proximal alteration zone dominated by K-feldspar alteration. Both the core and K-feldspar alteration overprint Na–Ca alteration and biotite–magnetite (K–Fe) alteration. Ore was associated with the concentration of a diverse range of elements (e.g. Cu, Au, Fe, Mo, U, Sb, W, Sn, Bi, Ag, F, REE, K, S, As, Co, Ba and Ca). Mineralization also involved the deposition of significant barite, K(–Ba)–feldspar, calcite, fluorite and complexly zoned pyrite. The complexly zoned pyrite and variable K–(Ba)–feldspar versus barite associations are interpreted to indicate fluctuating sulphur and/or barium supply. Together with the alteration zonation geochemistry and overprinting criteria, these data are interpreted to indicate that Cu–Au mineralization occurred as a result of fluid mixing during dilation and brecciation, in the location of the most intense initial potassic alteration. A link between early alteration (Na–Ca and K–Fe) and the later K-feldspathization and the Cu–Au ore is possible. However, the ore-related enrichments in particular elements (especially Ba, Mn, As, Mo, Ag, U, Sb and Bi) are so extreme compared with earlier alteration that another fluid, possibly magmatic in origin, contributed the diverse element suite geochemically independently of the earlier stages. Structural focussing of successive stages produced the distinctive alteration zoning, providing a basis both for exploration for similar deposits, and for an understanding of ore genesis. 相似文献
102.
The computation of electromagnetic (EM) fields, for 1-D layered earth model, requires evaluation of Hankel Transform (HT)
of the EM kernel function. The digital filtering is the most widely used technique to evaluate HT integrals. However, it has
some obvious shortcomings. We present an alternative scheme, based on an orthonormal exponential approximation of the kernel
function, for evaluating HT integrals. This approximation of the kernel function was chosen because the analytical solution
of HT of an exponential function is readily available in literature. This expansion reduces the integral to a simple algebraic
sum. The implementation of such a scheme requires that the weights and the exponents of the exponential function be estimated.
The exponents were estimated through a guided search algorithm while the weights were obtained using Marquardt matrix inversion
method. The algorithm was tested on analytical HT pairs available in literature. The results are compared with those obtained
using the digital filtering technique with Anderson filters. The field curves for four types (A-, K-, H-and Q-type) of 3-layer
earth models are generated using the present scheme and compared with the corresponding curves obtained using the Anderson
sc heme. It is concluded that the present scheme is more accurate than the Anderson scheme 相似文献
103.
104.
针对间歇式热处理炉温度控制对象的特性要求,提出了参数在线自调整模糊控制与智能积分相结合的一种新型模糊控制方法。该方法的基本思想是在系统误差较大时,用参数在线自调整模糊控制算法以提高系统的响应;在系统误差较小时,加入智能积分作用以消除静态误差,智能积分作用是有选择的施加积分作用,克服了一般连续积分控制的缺点。论述了带智能积分参数在线自调整模糊控制器的设计及软件实现。并且通过在MATLAB软件上的仿真分析表明该方法的合理性及可行性。 相似文献
105.
地学自由曲面径向基函数网络重建的详细算法 总被引:3,自引:0,他引:3
径向基函数(RadialBasisFunction,简称RBF)神经网络是一种理想的地学离散数据网格化工具,能够适应各种不同分布形式和边界条件的数据,收敛速度较快,可以逼近任何复杂曲面。这里详细介绍了RBF神经网络的算法。适当径向基函数的形式和偏差系数是使用RBF神经网络作地学曲面重建的关键。大量的实际数据验证结果表明,当选用Gauss型径向基函数时,一般可获得比较理想的网格化效果,同时具备"曲面平滑"和"拟合度高"的特点。 相似文献
106.
107.
108.
从预报煤与瓦斯突出所获取的数据信息知,其信息多数为灰色特征。为突出其灰色特性,本文采用理想灰贴近函数聚类关联分析预测预报煤与瓦斯突出的危险程度,并将此方法同模糊聚类预测预报法和模糊聚类关联分析预报法及模糊聚类相似分析预报法进行了对比分析。由对比分析可知,采用4种数学方法预测预报煤与瓦斯是否突出,给出的结论是一致的,只是预测预报是否发生的可能程度略有差别。其中关联分析比相似分析计算过程较简单,且相似分析在确定编号时,有时受截值λ取值影响。尽管如此,但不影响预测预报结果。所以,不论是采用模糊聚类,还是灰色聚类数学方法预报煤与瓦斯突出均是可行的,可在实践中应用。 相似文献
109.
110.
两种不同雨滴谱分布的分析 总被引:5,自引:0,他引:5
为了拟合实际观测的雨滴谱资料,采用不同阶数矩确定谱分布函数的谱参数。由此确定的M P分布函数和Γ分布函数在计算不同阶数矩对应的物理参量时存在差别,矩的阶数越高,差别越大。当粒子直径满足一定条件时,矩计算的积分截断效应可以忽略。 相似文献