西藏雄村Ⅰ号矿体三维地质建模与深部可视化应用

    3D geological modeling and deep visualization application of Xiongcun No. Ⅰ orebody Tibet

    • 摘要: 21世纪以来随着地球科学的发展,深部三维建模技术逐渐进入地学领域,数学地质与计算机科学的结合为地学领域开辟了新的认知空间,也给地球科学工作者带来了新的挑战与机遇。通过三维建模SURPAC软件对西藏雄村铜-金矿床Ⅰ号矿体162个钻孔数据预处理、分析及矿体解译,针对雄村Ⅰ号矿体深部数字化资源/储量估算及深部成矿元素分布问题,采用地质统计学法对Ⅰ号矿体钻井数据进行矿体模型、实体模型建立及数字化自动资源/储量估算,以深部实体模型二维切片模型为指导,探讨了深部成矿元素的空间分布形态及相互关系。研究表明,采用距离幂次反比法进行资源/储量估算,结果均大于96%,有效揭示了区内资源/储量定量评估。在矿体模型、实体模型的指导下,以深部二维精细化切片模型展布了矿体深部三维空间成矿元素分布特征及相互关系,有效减少了雄村Ⅰ号矿体深部成矿单一信息多解性问题,为西藏雄村斑岩型铜-金矿床Ⅰ号矿体深部精确定量找矿提供了参考依据。

       

      Abstract: With the development of Earth Science since the 21st century, the age of 3D has gradually come into the geosciences.The combination of mathematical geology and computer science has opened up a new cognitive space for the field of geoscience, and also brought new challenges and opportunities to geoscientists.Through 3D modeling and SURPAC software, 162 borehole data of No.Ⅰorebody of the Xiongcun Cu-Au deposit in Tibet were preprocessed and analyzed to interprete the orebody.According to the deep digital resource/reserve estimation of No.Ⅰorebody and the distribution of deep ore-forming elements in Xiongcun, the solid model and digital automatic resource/reserve estimation system were established by the method of geological statistics based on the drilling data.Based on the two-dimensional slice model of deep solid model, the spatial distribution and interrelationship of deep ore-forming elements were discussed.Research shows that the results of resource/reserve estimation by means of the inverse power of distance method are all greater than 96%, and effectively reveal the quantitative assessment of resources/reserves in the region.Under the guidance of ore body model and entity model and using the deep 2D fine slicing technology, the distribution characteristics and interrelationship of mineralization elements in the deep 3D space of the ore body are clearly displayed.That effectively reduces the ambiguity of single information of deep orebody and provides a reference basis for accurate deep prospecting.

       

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