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Infrared spectroscopy in BHP Billiton iron ore with a focus on in-mine infrared sensing

机译：BHP Billiton铁矿石中的红外光谱专注于矿井红外传感

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The focus in the iron ore industry has shifted from increasing production volumes with less regard for cost, to efficient production of quality tonnes. BHP Billiton iron ore geoscience and exploration has embedded infrared spectroscopic sensing of drill hole samples to help meet this challenge.Infrared spectroscopy is delivering mineral predictions that are used for (automated) geology logging and modelling. The spectra are processed together with other available data sets to predict geometallurgical and geotechnical variables that include lump per cent and uniaxial compressive strength.Trials are ongoing to test the benefit of infrared spectroscopy during mining, including the analysis of grade control samples and remote sensing of mine faces. Results show great benefits in the fields of short-term geology modelling, better understanding of material (handling) properties, identification of geotechnical risk areas and high resolution ore-waste delineation.These trials are bringing BHP Billiton iron ore closer to its ultimate goal of having infrared spectroscopic data collected across the mining value chain. Once such data are available everywhere, regression models can be trained at one point (eg iron grade model trained on exploration samples) and be applied elsewhere (eg iron grade predicted on mine faces). Such predictive analytics will enable not only high precision mining, but also provide maximum time to tailor plant design to the ore in the ground, based on learnings from ores processed in other plants. This will improve planning outputs that will eventually increase mining efficiency, processing capability and product quality.
机译：在铁矿石行业的焦点已经从与更低的成本方面，以高效的生产质量万吨提高产量转移。必拓铁矿石地球科学和勘探具有嵌入钻孔样品的红外分光感测，以帮助满足这个challenge.Infrared光谱法提供的是用于（自动的）地质测井和建模矿物预测。该光谱与其他获取的数据集一起处理以预测geometallurgical和岩土变量包括％和单轴压缩strength.Trials块状正在进行挖掘期间测试红外光谱的益处，其中包括级控制样品的分析和遥感我的面孔。结果表明，短期地质建模领域的巨大利益，更好地理解材料的（处理）性能，岩土风险领域和高分辨率的矿废物delineation.These试验鉴定都带来了必和必拓的铁矿石更接近其终极目标具有横跨开采价值链收集红外光谱数据。一旦这样的数据是随处可见，回归模型可以在一个点（如铁品位模型中训练上探样品）进行培训，可适用于其他地区（对矿井如铁品位预测面）。这样的预测分析将使不仅精度高开采，而且要在地下矿的基础上，从其他植物加工矿石的学习收获提供最大的时间来量身定制厂房设计。这将提高规划产出，最终将提高采矿效率高，加工能力和产品质量。

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