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Application of Geostatistical Tools in Measurement While Drilling to Assess Geotechnical Rock Conditions in Sublevel Caving

机译:地统计学工具在测量中的应用,同时钻探评估岩土岩石岩岩岩石条件

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This paper applies geostatistical tools in Measure While Drilling (MWD) data to estimate the probability distribution of values in all the points of the studied domain in order to assess the continuity of rock classes between boreholes. The analyses carried out by Ghosh et al. (2018) and Navarro et al. (2019) have been used as starting point of this work to classify the geotechnical rock condition in four classes: solid rock, fractured rock, cave- in rock and cavity. From it, an application for the geotechnical rock condition of orebodies have been developed, aiming at characterizing the rock before the charging the holes to minimize unexpected rock conditions and to address issues associated with charging and blasting operations. Such problems are closely related with non-optimal rock fragmentation after blasting.The procedure has been applied in the geotechnical block model results obtained from Navarro et al. (2019)’s work in the Luossavaara- Kiirunavaara AB’s (LKAB) Malmberget underground iron ore mine, Sweden. Navarro et al. (2019)’s model was developed based on 102 fan- holes from five orebodies and extrapolated to the full-scale in 20 drifts with 5600 fan- holes from two orebodies. A multi-step transformation of the MWD parameters was carried out in order to minimize external influences other than the rock mass.The study shows the calculations of the variogram and kriging estimation in the 3D domain for six ring-blasts, from one of the orebodies studied in Navarro et al. (2019)’s work to assess the continuity of the rock classes along the six ring-blasts in a 3D mapping model. For that, intermediate rings between the measured ones from the MWD have been estimated. The probability distribution of values in the entire domain of rings with measured samples has been plotted together with the rock classes identified by the blasthole paths. The results show high accuracy in the matching between the kriging and the values given by the MWD data, allowing to visualize smooth trends of different rock classes along the ring. The representation of the 3D mapping model for the six ring-blast shows clear fractured and cave-in zones developed along the drift that correspond to zones with geotechnical problems found, as from internal reports.
机译:本文在钻井(MWD)数据时,估计学习领域的所有点中值的概率分布,适用地统计工具,以评估钻孔之间的岩石类的连续性。 Ghosh等人进行的分析。 (2018)和Navarro等人。 (2019年)已被用作这项工作的起点,以分类四类岩土岩石条件:坚实的岩石,裂缝岩石,岩石和洞穴。从它来看,已经开发了一种用于岩土地岩石状况的应用,旨在在充电孔之前表征岩石,以最小化意外的岩石条件并解决与充电和爆破操作相关的问题。这些问题与爆破后的非最佳岩石碎片密切相关。该过程已应用于从Navarro等人获得的岩土块模型结果。 (2019年)在Luossavaara-Kiirunavaara AB的工作(LKAB)Malmberget地下铁矿石,瑞典。纳瓦罗等人。 (2019年)的模型是基于52个来自五个矿石的扇形开发的模型,并在两个矿石的5600扇形中推断到20个漂移中的全尺寸。进行MWD参数的多步变换,以便最小化除岩体之外的外部影响。该研究表明,从Navarro等人研究的一个矿石中,六个戒指中的3D域中的变速仪和克里格估计的计算。 (2019年)在3D映射模型中评估沿六个戒指爆炸的岩石类连续性的工作。为此,已经估计了来自MWD的测量器之间的中间环。用测量样本的环的整个域中值的概率分布已经绘制在一起与由普拉索路径识别的岩石类别绘制。结果在Kriging与MWD数据给出的值之间的匹配中显示了高精度,允许沿着环可视化不同岩石类的平滑趋势。六个环喷射的3D映射模型的表示显示了沿着漂移开发的清晰的破裂和塌陷区域,该区域对应于具有岩土问题的区域,从内部报告中找到。

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