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DRONES TO DRILLS AN INTEGRATED APPROACH TO MINERAL EXPLORATION

机译:德罗酮钻取矿物勘查的综合方法

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This discussion examines the multidisciplinary mineral exploration method used for identifying hard rock gold mineralization on the QV Gold property in Yukon Territory, Canada. The exploration program targeted near surface mineral deposit potential (within top 100m) below existing gold-in-soil anomalies. A combination of drone survey, DC Resistivity/IP and drilling methods were run in series to build and test interpretations. A UAV drone was used to collect high resolution imagery and topography as a detailed base map and 3d model for interpretation and planning of follow-up work on the QV projects gold-in-soil anomalies. DC Resistivity/IP surveys were run on the target gold-in-soil anomalies to identify near surface resistivity and chargeability features associated with the gold-in-soil mineralization at surface. Bedrock interface sampling using a direct push sampling rig was conducted on coincident gold-in-soil and near surface resistivity and/or chargeability anomalies. X-ray fluorescence (XRF) analysis was conducted on bedrock interface samples during the survey to aid in directing the sampling program with geochemical data in real time. Drill testing was conducted using a rotary air blast (RAB) drill on resistivity/chargeability targets that also had significant gold grades in the overlying bedrock interface. XRF analysis on samples combined with Optical Televiewer downhole surveys were run during the drilling program. This method and proved to be successful on the QV project to rapidly identify mineral potential on structurally controlled gold mineralization within the top 100m. Utilizing real time XRF geochemistry paired with Optical Televiewer downhole imagery during drilling significantly increased understanding of the DC Resistivity/IP inversions. All data was interpreted in a UAV drone-generated 3D model which provided the ability to analyze relationships between geochemical, geophysical and geological data. This integrated approach significantly improved drill targeting on the QV property at a reduced cost, timeline and environmental footprint when compared to traditional mineral exploration methods.
机译:本讨论探讨了用于识别亚居国国国国国国国国国国国国桥梁金矿的多学科矿产勘探方法。勘探计划瞄准近地表矿物沉积电位(在现有的金对土壤异常低于现有的金矿床上。无人机调查,直流电阻率/ IP和钻井方法的组合始于串联以构建和测试解释。 UAV无人机被用来收集高分辨率图像和地形作为一个详细的基础地图和3D模型,用于解释和规划后续工作的QV突出的金色异常异常。 DC电阻率/ IP调查在目标金对土体异常上进行,以确定与表面上的金土矿化相关的接近表面电阻率和带电功能。使用直推采样器采样的基岩界面采样在重合的金土和近表面电阻率和/或充电性异常上进行。在调查期间在基岩界面样本上进行X射线荧光(XRF)分析,以帮助将采样计划实时引导地球化学数据。使用旋转空气爆破(RAB)钻探在覆盖的基岩界面中的电阻率/充电能力靶标进行旋转空气爆破(RAB)钻探进行钻探测试。在钻井计划期间运行与光学电视机井下调查相结合的样品的XRF分析。这种方法并证明是成功的QV项目,以便在前100米内的结构控制金矿化上迅速识别矿物潜力。利用实时XRF地球化学与光学电视机井下图像配对,在钻井期间显着提高了直流电阻率/ IP逆转的理解。所有数据都被解释为UAV无人机生成的3D模型,该模型提供了分析地球化学,地球物理和地质数据之间关系的能力。与传统的矿物勘探方法相比,这种综合方法以降低的成本,时间表和环境足迹,在降低的成本,时间轴和环境足迹上显着改善了QV性能。

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