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首页> 外文期刊>Journal Of The South African Institute Of Mining & Metallurgy >Benefits of including resistivity data in a resource model - an example from the Postmasburg Manganese Field
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Benefits of including resistivity data in a resource model - an example from the Postmasburg Manganese Field

机译：在资源模型中包括电阻率数据的益处 - Postmasburg锰领域的一个例子

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Due to the challenging geological environment of the Postmasburg Manganese Field (PMF), a study was conducted to determine if any benefits would derive from the inclusion of resistivity data during three-dimensional (3D) modelling of the manganese resource. This was achieved by estimating manganese resources from 2011/2012 drilling data and comparing them with manganese resources estimated from the same drilling data and resistivity data collected during 2013 and 2017.Both models were adjusted to limit their extent to the same 3D modelling space. Significant volume and tonnage differences were observed for all lithological units. The greatest differences were noted in the manganiferous zones of alteration - 7.200 Mt for the geological model versus 3.700 Mt for the geoelectric model.This study showed that the inclusion of resistivity data can reduce exploration costs significantly, as a direct consequence of the resistivity data allowing more accurate siting of boreholes. This decreases the number of boreholes, samples, and analyses required due to the 3D electrical delineation of mineralized areas prior to drilling.An additional benefit is the ability to more correctly forecast the net present value of an operation due to more accurate estimation of manganese resources and stripping ratios. This is clearly demonstrated by the estimated gross profit estimation of R409 million for the geological resource model versus R264 million for the geoelectric resource model.The addition of resistivity data can, therefore, reduce exploration costs and can increase confidence in geological and financial modelling. It would be reasonable to conclude that this approach could also be used for karst-hosted massive sulphide deposits.
机译：由于Postmasburg锰领域（PMF）的挑战性地质环境，进行了一项研究以确定任何益处是否会在锰资源的三维（3D）建模期间包含电阻率数据。这是通过估计2011/2012钻井数据的锰资源来实现的，并将其与来自2013年和2017年期间收集的相同钻井数据和电阻率数据估计的锰资源进行比较。调整模型以限制相同的3D建模空间。对于所有岩性单位，观察到显着的体积和吨位差异。最大的差异是在改变的“工地模型的7.200毫秒”与电气模型的3.700毫秒的最大区别。本研究表明，包含电阻率数据可以显着降低勘探成本，作为电阻率数据的直接后果允许的直接后果更准确的钻孔选址。这降低了由于钻井前的矿化区域的3D电描绘而所需的钻孔，样品和分析的数量。额外的好处是由于更准确地估计锰资源，因此能够更正地预测净目的价值的能力和汽提比。这清楚地证明了地质资源模型的估计毛利率估计，对地电力资源模型的R264百万。因此，可以降低勘探成本，并可以增加地质和金融建模的信心。结论这种方法可合理，也可用于喀斯特托管的大规模硫化物沉积物。

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