白口伟晶岩的矿物学变异性及其对锂浓度的影响

Claude Lamy Morissette, Emmanuelle Cecchi, J. Blais
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摘要

Whabouchi伟晶岩是一种钠长石-锂辉石型锂-铯-钽伟晶岩,位于qusamubec的James Bay地区。为了评价伟晶岩的矿物学和地球化学变异性,采集了168个岩心样品,并对其整体岩石地球化学和矿物学进行了分析。伟晶岩由石英、钠长石、钾长石、锂辉石和白云母组成,并含有微量的辉石石榴石、磷灰石、绿柱石、电气石和氧化物。它大部分是均匀的,在矿物钠长石、钾长石和锂辉石方面表现出最大的变异性。Li2O浓度在0.03 ~ 4.46 wt.%之间变化,平均为1.53 wt.%,估计变异性为53%。模态矿物学数据显示,锂辉石与长石(钠长石+钾长石)呈负相关关系,Li2O含量与Na2O和K2O的总和也可以观察到这一点。为了改善这种关系,构建了比较所有地球化学成分的相关矩阵,并允许开发一个方程,该方程能够在测量值的0.5 wt.%范围内估计样品的Li2O含量。利用从安大略省西北部的乔治亚湖地区采集的样品验证了该方程对其他钠长石-锂辉石型伟晶岩的适用性。计算提供了样品中Li2O含量的良好近似值,92%的数据显示Li2O的差异为0.5 wt.%或更小;然而,它对数据集的统计平均值有影响,数据被重新计算以返回接近1.5 wt.% Li2O的平均值。考虑到分析原位样品的锂含量的困难,这种关系可以促进使用便携式x射线荧光分析所有所需成分的现场估计。
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Mineralogical Variability of the Whabouchi Pegmatite and its Effect on the Li Concentrations
The Whabouchi pegmatite, located in the James Bay area of Québec, is a lithium-cesium-tantalum pegmatite of albite-spodumene type. In order to evaluate the mineralogical and geochemical variability of the pegmatite, 168 samples were collected from drill core and analyzed for their whole rock geochemistry and mineralogy. The pegmatite is composed of quartz, albite, K-feldspar, spodumene, and muscovite, with trace amounts of spessartine garnet, apatite, beryl, tourmaline, and oxides. It is mostly homogenous, showing greatest variability with respect to the minerals albite, K-feldspar, and spodumene. The Li2O concentration varies between 0.03 and 4.46 wt.%, for an average of 1.53 wt.% and an estimated variability of 53%. Modal mineralogical data showed an inverse correlation between spodumene and the feldspars (albite + K-feldspar), which could also be observed when comparing the Li2O content with the sum of Na2O and K2O. To improve on this relationship, correlation matrices comparing all geochemical components were constructed and allowed the development of an equation able to estimate the Li2O content of the samples within 0.5 wt.% of the measured value. The applicability of the equation to other albite-spodumene type pegmatites was verified with samples collected from the Georgia Lake area of northwestern Ontario. The calculation provided a good approximation of the Li2O content of the samples, with 92% of the data showing a difference of 0.5 wt.% Li2O or less; however, it has an impact on the statistical mean of the data set, the data being recalculated to return an average closer to 1.5 wt.% Li2O. Considering the difficulty in analyzing lithium content of an in situ sample, this relationship could facilitate estimation in the field using portable X-ray fluorescence with the capability of analyzing all required components.
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