ABSTRACT The main issue in mineral exploration is to obtain as much information as possible in a time‐ and cost‐efficient manner. This may be achieved through a combination of geophysical methods including the induced polarization method. The induced polarization is the most applicable method in case of metal exploration through drilling. We argue that the relationship between induced polarization, electrical resistivity and ore grade data may be used in resource estimation. This argument is tested in the active copper mine of Madan Bozorg, Abassabad, which is located in the Miami‐Sabzevar mineralization belt in NW Iran. Within the borehole locations, geophysical profiles of induced polarization and electrical resistivity were designed and surveyed using combined resistivity sounding and profiling array. Two‐dimensional models of induced polarization and electrical resistivity were prepared through inversion of geophysical data, after the primary processing. The three‐dimensional block models of induced polarization and electrical resistivity were also compiled using geostatistical methods. Obtained two‐dimensional and three‐dimensional models of induced polarization and electrical resistivity were checked using exploratory boreholes to investigate the relationship among induced polarization, electrical resistivity and copper grade. The three‐dimensional block model of the copper ore was prepared using cokriging and artificial neural network, using a combination of induced polarization and drilling data. In the cases where borehole data were unavailable, the presence of copper ore was predicted by artificial neural network and cokriging methods, and the three‐dimensional models of ore body were constructed in all of the study area. Obtained models based on the predicted copper ore distribution were checked and compared with ore distribution model compiled using drilling data. The results indicate a good agreement between predicted and real results. This led to reduction of borehole number to about 45% and the optimization of boreholes locations. Finally, an optimized drilling plan has been prepared and presented for the Abassabad copper mine.

中文翻译：

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调查激发极化方法在矿石建模和钻井优化中的适用性：伊朗阿巴萨巴德的案例研究

摘要 矿产勘探的主要问题是以时间和成本效益的方式获得尽可能多的信息。这可以通过包括激发极化方法在内的地球物理方法的组合来实现。在通过钻孔进行金属勘探的情况下，激发极化是最适用的方法。我们认为感应极化、电阻率和矿石品位数据之间的关系可用于资源估算。这一论点在位于伊朗西北部迈阿密-Sabzevar 矿化带的阿巴萨巴德的 Madan Bozorg 活跃铜矿中得到了验证。在钻孔位置内，使用组合电阻率测深和剖面阵列设计和勘测了诱发极化和电阻率的地球物理剖面。在初步处理后，通过地球物理数据的反演制备了诱导极化和电阻率的二维模型。还使用地质统计学方法编制了诱发极化和电阻率的三维块模型。使用勘探钻孔检查获得的感应极化和电阻率的二维和三维模型，以研究感应极化、电阻率和铜品位之间的关系。使用协同克里金法和人工神经网络，结合激发极化和钻井数据，制备了铜矿石的三维块体模型。在无法获得钻孔数据的情况下，通过人工神经网络和协同克里金法预测铜矿石的存在，并在整个研究区建立了矿体三维模型。对基于预测的铜矿石分布获得的模型进行检查，并与使用钻井数据编制的矿石分布模型进行比较。结果表明预测结果和实际结果之间具有良好的一致性。这导致钻孔数量减少到约 45%，并优化了钻孔位置。最后，为阿巴萨巴德铜矿制定并提交了优化的钻井计划。这导致钻孔数量减少到约 45%，并优化了钻孔位置。最后，为阿巴萨巴德铜矿制定并提交了优化的钻井计划。这导致钻孔数量减少到约 45%，并优化了钻孔位置。最后，为阿巴萨巴德铜矿制定并提交了优化的钻井计划。