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Identifying porphyry-Cu geochemical footprints using local neighborhood statistics in Baft area, Iran
Frontiers of Earth Science ( IF 1.8 ) Pub Date : 2021-04-05 , DOI: 10.1007/s11707-020-0853-x
Saeid Ghasemzadeh , Abbas Maghsoudi , Mahyar Yousefi

Identifying geochemical anomalies related to ore deposition processes facilitates the practice of vectoring toward undiscovered mineral deposit sites. In district-scale exploration studies, analysis of dispersion patterns of ore-forming elements results in more-reliable targets. Therefore, deriving significant geochemical footprints and mapping the ensuing geochemical anomalies are of important issues that lead exploration geologists toward anomaly sources, e.g., mineralization. This paper aims to examine the effectiveness of local relative enrichment index and singularity mapping technique, as two methods of local neighborhood statistics, in the delineation of anomalous areas for further exploration. A data set of element contents obtained from stream sediment samples in Baft area, Iran, therefore was applied to illustrate the procedure proposed. The close relationship between anomalous patterns recognized and known Cu-occurrences demonstrated that the procedures proposed can efficiently model complex dispersion patterns of geochemical anomalies in the study area. The results showed that singularity mapping method is a better technique, compared to local relative enrichment index, to delineate targets for follow-up exploration in the area. We made this comparison because, as pointed out by exploration geochemists, dispersion patterns of geochemical indicators in stream sediments vary in different areas even for the same deposit type. The variety in the dispersion patterns is due to the operation of post-mineralization subsystems, which are affected by local factors such as landscape of the areas under study. Therefore, the effectiveness of the methods should be evaluated in every area for every targeted deposit.



中文翻译:

使用伊朗巴夫特地区的当地邻域统计数据识别斑岩-铜地球化学足迹

识别与矿石沉积过程有关的地球化学异常有利于向未发现的矿藏位置进行矢量化作业。在区域规模的勘探研究中,对成矿元素扩散模式的分析可以得出更可靠的目标。因此,得出重要的地球化学足迹并绘制随后的地球化学异常是重要的问题,这些问题导致勘探地质学家转向异常源,例如成矿作用。本文旨在研究异常相对应区域的划定方法,以探讨局部相对富集指数和奇异性图绘制技术作为局部邻域统计的两种方法的有效性,以进行进一步的探索。因此,使用了从伊朗巴夫特地区的河流沉积物样本中获得的元素含量数据集,以说明拟议的程序。认识到的异常模式与已知的铜发生之间的密切关系表明,所提出的程序可以有效地对研究区域中地球化学异常的复杂分散模式进行建模。结果表明,与局部相对富集指数相比,奇异点测绘方法是一种更好的技术,可用于确定该地区的后续勘探目标。我们进行这种比较是因为,正如勘探地球化学家指出的那样,即使对于相同的矿床类型,流化沉积物中地球化学指示剂的分散模式也会在不同区域发生变化。分散模式的多样性归因于矿化后子系统的运行,这些子系统受当地因素(例如,研究区域的景观)的影响。所以,

更新日期:2021-04-05
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