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首页> 外文会议>Applications of Computers and Operations Research >GEOSTATISTICS AND DRILL HOLE SPACING: HAS IT HELPED IN THE ECONOMICS OF EXPLORATION?
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GEOSTATISTICS AND DRILL HOLE SPACING: HAS IT HELPED IN THE ECONOMICS OF EXPLORATION?

机译：地统计学和钻孔孔间距：它有助于探索的经济学吗？

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摘要

The mining and exploration industries have been using Geostatistics (Matheron, 1963) for the past forty years. It has been extensively incorporated into three dimensional block modeling software whose usage has reflected the growth in the use of personal computers since 1980. Because of the utility of geostatistical models in mining and production planning, much of the modern reserve and resource modeling is done by mining engineers, geostatisticians and geological engineers. Explorationists are initially less concerned with three dimensional models until such time as a deposit has been roughly delineated. However, the concept of regionalized variables in ore deposits deals with the effect of spatial correlations between data points in a three dimensional sample space and should be useful for optimizing the spacing of drill holes to allow maximum bang-for-the-buck in drilling programs. This paper examines three common deposit types (porphyry copper, VMS and intrusive gold) to examine whether geostatistical methods have been used to minimize drilling costs because of better understanding of spatial correlations.
机译：矿业和勘探行业一直在使用地统计学（Matheron，1963）过去四十年。它已被广泛地纳入三维块建模软件，其使用已经反映了自1980年以来的使用中使用个人计算机的增长。由于挖掘和生产规划中的地统计模型的效用，大部分现代储备和资源建模就完成了采矿工程师，地统计学家和地质工程师。探索家最初不太关注三维模型，直到押金的时间大致划定。然而，矿床中区域化变量的概念涉及三维样本空间中数据点之间的空间相关性的影响，并且应该用于优化钻孔的间距，以允许在钻井计划中获得最大爆炸 - 降压。本文研究了三种常见的沉积类型（斑岩铜，VM和侵入性金），以检查地质统计学方法是否已用于最小化钻井成本，因为更好地了解空间相关性。

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