三部分评估中未发现矿藏数量估计的进展

Donald A. Singer
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摘要

三部分矿物评估的中心部分是估计未发现矿藏的数量。等级-吨位模型的内部一致性和勘探良好的矿床减少了三部分定量评估中有偏差估计的机会。估算是根据地质条件在划定的区域内所允许的特定类型的矿床。无论采用何种估算方法,每种矿床类型都需要用已探明矿床构建品位-吨位模型,估算数量必须与该模型相一致。对当地勘探良好的矿床进行分类和统计测试,以确保全球品位和吨位模型具有代表性。自1975年以来,三部分评估使用专家判断,依靠基于类比的准则来帮助估计数字。专家判断的优点是,他们可以利用所有可用的信息,并在评估过程中适应其他专家提供的信息。由于需要提供每个可能目标的位置指示,定位方法的应用受到限制。2008年左右发展起来的另一种估算方法是基于多种矿床类型的广义矿床密度模型,该模型使用了矿床类型的中位吨位、允许带面积和已勘探控制区内的已知矿床数量。它是非常稳健的,可以应用于任何类型的矿床在适当的许可束。超前矿床估计采用广义密度法指导专家估计。然后,专家可以识别可能有缺陷的估计,并根据当地信息(如当地勘探结果或专家的观察结果)改进估计,从而进一步减少有偏差估计的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advances in estimations of number of undiscovered mineral deposits in three-part assessments
A central part of three-part mineral assessments is estimating number of undiscovered mineral deposits. Internal consistency and well-explored deposits in grade–tonnage models reduce chances of biased estimates in three-part quantitative assessments. Estimates are of specific types of deposit permitted by geology in delineated tracts. Regardless of estimation method, each deposit type needs a grade–tonnage model constructed with well-explored deposits and estimated numbers must be consistent with this model. Local well-explored deposits are typed and statistically tested to ensure the global grade and tonnage model is representative of them.
Three-part assessments used expert judgements since 1975 that relied on analogy-based guidelines to aid in estimation of number. The advantage of expert judgements is that they can use all available information and adapt to information supplied by other experts during the assessment. A targeting method has seen limited application due to the requirement that location indicators of each possible target need to be present. Another estimation method developed around 2008 is a generalized deposit density model based on multiple deposit types which uses deposit type's median tonnage, permissive tract area, and number of known deposits in well-explored control areas. It is remarkably robust and can be applied to any deposit type in a proper permissive tract.
Advanced deposit estimations use the generalized density method to guide expert estimates. Experts can then identify possibly flawed estimates and improve estimates based on local information such as local exploration results or observations by experts thereby further reducing chances of biased estimates.
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