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Three-dimensional prospectivity mapping of skarn-type mineralization in the southern Taebaek area, Korea

机译:韩国南部地区矽卡岩矿化的三维前瞻性映射

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摘要

The integration of three-dimensional (3D) exploration data is important for targeting deep-seated mineral deposits. This paper presents a methodology for 3D mineral prospectivity modeling at the regional scale based on a knowledge-driven method. A mineral prospectivity map of skarn-type mineralization was developed for the southern region of the Taebaek basin in Korea. Criteria generated using the skarn mineral system concept and 3D exploration maps were extracted from the 3D geological model, and then were assigned weights and scores using expert knowledge. The prospectivity map was prepared using a multiclass index overlay method, in which 3D exploration criteria were integrated for the study area. The prospectivity model was quantitatively validated by comparisons with 46 ore body voxels from drill holes in six known historical skarn-type deposits. The success rate for the prospectivity model was 89.04%. This high value appears to reflect the importance of the weighting and scoring process used for the exploration criteria. It is believed that the proposed approach provides a valuable guide to the identification of new deposit-scale, deep-seated exploration target zones.
机译:三维(3D)勘探数据的集成对于瞄准深层矿物沉积物很重要。本文介绍了基于知识驱动方法的区域规模3D矿物前瞻性建模的方法。韩国Taebaek盆地南部地区开发了矽卡岩型矿化的矿物前瞻性图。使用Skarn矿物系统概念和3D勘探地图产生的标准从3D地质模型中提取,然后使用专业知识分配权重和分数。使用多种多组索引覆盖方法制备预期图,其中为研究区域集成了3D探索标准。通过从六种已知的历史鞋型沉积物中的钻孔与钻孔的比较,定量验证了预期模型。预期模型的成功率为89.04%。此高值似乎反映了用于勘探标准的加权和评分过程的重要性。据信,该方法提供了识别新存款规模,深层勘探目标区的有价值指南。

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