Distribution of gold in different size fractions of stream sediments as a guide to bedrock gold mineralisation along the Shyok Suture Zone and adjacent areas of the Kohistan Island Arc, Pakistan

Distribution of gold in different size fractions of stream sediments as a guide to bedrock gold mineralisation along the Shyok Suture Zone and adjacent areas of the Kohistan Island Arc, Pakistan
复制标题

DOI:
10.1007/s12517-014-1306-1
复制
发表时间:
2015-04
影响因子:
--
通讯作者:
L. Ali;B. Williamson;C. Moon;M. T. Shah;S. A. Khattak
L. Ali;B. Williamson;C. Moon;M. T. Shah;S. A. Khattak
中科院分区:
地球科学4区
文献类型:
--
作者:
L. Ali;B. Williamson;C. Moon;M. T. Shah;S. A. Khattak

文献摘要

被引文献

相似文献

本文描述了一种利用巴基斯坦北部偏远地区和冰川地区河流沉积物的新勘探方法。研究人员对 10 个流域收集的 268 个粒度级样品中的金浓度进行了研究,以检测该地区可能的矿化情况。根据区域河流沉积物数据集中黄金数据的空间分析,这 10 个流域被确定为异常。多尺寸分数方法成功地确定了已知的金矿前景以及新的金矿化区域。以前未知的流域根据其黄金前景进行排名,其中最有前景的流域(排名下降)是:Teru、Aseriat 和 Pakora。研究发现,流域沉积物的粗粒(<1.68 mm–400 μm)和细粒(<75 μm)部分可以为金矿前景提供最可靠的指示。因此,建议在类似于巴基斯坦北部的高海拔地区进行的勘探项目,利用多种沉积物粒度分数的方法来定位潜在的矿化区域。
This paper describes a new exploration methodology using stream sediments in remote and glaciated regions of northern Pakistan. Gold concentrations in 268 samples from grain size fractions collected in 10 catchments were studied to detect possible mineralisation in the area. The 10 catchments were identified as anomalous from the spatial analysis of gold data in a regional stream sediment dataset. The multi-size fraction approach successfully identified known gold prospects as well as new areas of gold mineralisation. The previously unknown catchments were ranked in terms of their prospectivity for gold, with the most prospective catchments (decreasing in rank) being: Teru, Asheriat and Pakora. The studied catchments, the coarse (<1.68 mm–400 μm) and fine size (<75 μm) fractions of the stream sediments were found to give the most reliable indication of gold prospectivity. It is therefore advised that exploration programs carried out in high-altitude terrains, similar to those in northern Pakistan, utilise the approach of multiple-sediment size fractions to locate prospective areas for mineralisation.