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A New Semi-greedy Approach to Enhance Drillhole Planning
Natural Resources Research ( IF 5.4 ) Pub Date : 2020-04-13 , DOI: 10.1007/s11053-020-09674-8
Raphaël Dutaut , Denis Marcotte

In advanced exploration projects or operating mines, the process of allocating capital for infill drilling programs is a significant and recurrent challenge. Within a large company, the different mine sites and projects compete for the available funds for drilling. To maximize a project’s value to its company, a drillhole location optimizer can be used as an objective tool to compare drilling campaigns. The fast semi-greedy optimizer presented here can allow for the obtention of close to optimal solutions to the coverage problem with up to three orders of magnitude less computing time needed than with integer programming. The heuristic approach is flexible as it allows dynamic updating of block values once new drillholes are selected in the solution, as opposed to existing methods based on static block values. The block values used for optimization incorporate kriging estimate and variance, estimate of indicator at cutoff grade and distances to existing or newly selected drillholes. The heuristic approach tends to locate new drillholes within the maximum risk areas, i.e., within less informed zones predicted as being ore zones. Applied to different deposits, it enables, after suitable normalization, comparison of different drilling campaigns and allocation of budgets accordingly.



中文翻译:

一种新的半贪婪方法,以增强钻孔规划

在高级勘探项目或运营中的矿山中,为填充钻探计划分配资金的过程是一个重大而又经常性的挑战。在一家大公司内,不同的矿场和项目争夺可用的钻探资金。为了最大程度地提高项目对公司的价值,可以使用钻孔位置优化器作为比较钻探活动的客观工具。与整数编程相比,此处介绍的快速半贪婪优化器可以实现覆盖问题的最佳解决方案,并且所需的计算时间最多可减少三个数量级。启发式方法是灵活的,因为它允许在解决方案中选择新的钻孔后动态更新块值,这与基于静态块值的现有方法相反。用于优化的块值包括克里金估计和方差,截止等级的指标估计以及到现有或新选择的钻孔的距离。启发式方法倾向于将新的钻孔定位在最大风险区域内,即在被预测为矿石区域的信息量较小的区域内。适用于不同的矿床,经过适当的归一化后,它可以比较不同的钻探活动并相应地分配预算。

更新日期:2020-04-13
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