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首页> 外文期刊>Economic geology and the bulletin of the Society of Economic Geologists >A Data Mining Approach to Validating Drill Hole Logging Data in Pilbara Iron Ore Exploration
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A Data Mining Approach to Validating Drill Hole Logging Data in Pilbara Iron Ore Exploration

机译:Pilbara Iron Ose探索钻孔测井数据的数据挖掘方法

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摘要

Logging of exploration drill holes is a routine practice, and its accuracy is essential for resource evaluation and planning in the minerals industry. Logged compositions record a set of material types with standardized mineralogy and texture characteristics. The material types logged may vary due to diversity in mineralization and geology, but also due to subjective biases and human error, leading to significant challenges for the industry. Thus, there is a need to validate the field logging whereby the material types and their percentages are adjusted to reconcile with laboratory assay values while retaining the physical characteristics and geologic context.
机译:勘探钻孔的测井是常规实践,其准确性对于矿业行业的资源评估和规划至关重要。 记录的组合物记录了一系列具有标准化矿物学和纹理特性的材料类型。 记录的材料类型可能因矿化和地质的多样性而有所不同,而且由于主观偏差和人为误差,导致行业的重大挑战。 因此,需要验证现场记录,由此调整材料类型及其百分比以便在保持物理特征和地质背景下与实验室测定值进行调整。

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