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Blast Movement Modelling and Measurement

机译:爆炸运动建模和测量

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Geologists use large data sets and spend many hours and much computing time modelling the distribution of minerals throughout a rock mass. Signifi cant investments in drilling, assaying and quality assurance and quality control (QA/QC) are made before sophisticated geostatistical techniques are applied to the collected data. A large amount of research has been done in this fi eld such that the ore control model is a reasonably accurate refl ection of the mineral that is actually in the ground. However, after all this effort, the mining engineers then work just as diligently to blast the in situ rock mass to a particle size that can be effi ciently handled and further reduced by downstream comminution processes. In open cut mines, this invariably requires large amounts of explosive energy that displaces the ore boundaries from where the geologists originally defi ned them. Failure to accurately account for blast movement will result in misclassifi cation, whether that is ore to waste; low grade to high grade; sulfi de to oxide; or other contaminates – collectively referred to as ore loss and dilution. The fi nancial consequence of getting this wrong is substantial and not well quantifi ed. This diminishes all of the good geological QA/QC done in defi ning the ore. This paper discusses various technologies used to physically measure blast-induced orebody movement and the diffi culties in modelling this with a purely theoretical approach. Rock mass structure, blast energy, design and timing contours all have signifi cant and interrelated effects on blast movement vectors. Measured blast movement has a large variance due to the uncertainly of many of the controlling parameters – arguably dominated by the heterogeneous nature of the rock mass. Although there have been signifi cant advances in blast movement modelling capability in recent years, this unpredictable blast movement limits their use in the context of production ore control. Certainly, without physical fi eld measurements, accurate predictions of movement are near impossible. Limitations of traditional surface markers in determining three-dimensional (3D) blast movement within the orebody are also reviewed, and advancements in accurately measuring these vectors within blasted ore discussed.
机译:地质学家利用大数据集,并花很多时间和很多的计算时间整个岩体造型矿物的分布。之前复杂的地质统计技术应用于所收集的数据中钻孔,测定和质量保证和质量控制(QA / QC)之意义投资制成。已经在这个网络连接作了大量的研究视场使得控矿模型,实际上是在地下矿物相当准确的REFL挠度。然而,这种努力毕竟是采矿工程师,然后工作一样努力爆炸原位岩体的粒度可以艾菲ciently处理和下游的粉碎工艺进一步降低。在露天矿,这必然需要大量的爆炸能量置换是从哪里地质学家原本DEFI定义他们的矿石边界。如果不能准确地解释爆炸运动将导致misclassifi阳离子,无论是矿石浪费;低等级以高品位; sulfi德到氧化物;或其他污染物 - 统称为矿石损失和稀释。得到这个错误的财务后果是巨大的,而不是很好quantifi版。这减少一切美好的地质QA / QC在DEFI宁做矿石。本文讨论了用于物理测量爆炸引起的矿体运动,与纯粹的理论方法建模这个diffi culties各种技术。岩体结构,爆炸能量,设计和时序的轮廓都之意义和爆炸运动向量相互关联的影响。测量爆炸运动有一个大的变化,由于许多不确定的控制参数的 - 由岩体的异质性可以说是占主导地位。虽然已经出现了爆炸运动建模能力之意义的进步,近年来,这种不可预知的爆炸运动限制了其在生产矿控制的环境中使用。当然,没有物理网络连接的视场测量,运动的精确预测是几乎不可能。在矿体中确定三维(3D)运动鼓风传统表面标记的限制也被审查,进步在准确测量所讨论的爆破的矿石内的这些向量。

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