甘肃金川铜镍硫化物矿床三维可视化预测
Three-Dimensional Visualization Prediction of the Jinchuan Cu-Ni Sulfide Deposit, Gansu Province
DOI: 10.12677/AG.2019.93015, PDF,   
作者: 商清华, 毛先成:中南大学有色金属成矿预测与地质环境监测教育部重点实验室,湖南 长沙;中南大学地球科学与信息物理学院,湖南 长沙
关键词: 隐伏矿体三维可视化预测甘肃金川铜镍硫化物矿床Concealed Ore Body 3D Visualization Prediction Gansu Jinchuan Cu-Ni Sulfide Deposit
摘要: 随着金川矿区潜在矿产资源勘探工作向深边部进展,三维成矿预测方法以其定量化、多维化、可视化优势逐渐成为找矿工作突破的重要手段。本文基于以往研究积累,将形成的隐伏矿体三维可视化预测方法与技术框架应用于金川铜镍硫化物矿床深部找矿预测中,总结了金川矿体定位概念模型,构建了三维地质体模型,通过成矿信息提取方法得到控矿因素指标,从而基于多元线性回归方法建立了三维预测模型。研究表明,该实例取得的预测结果与地质研究结论符合,可为其深部找矿工作提供定量化指导。
Abstract: With the progress of potential mineral resources exploration in the Jinchuan mine area to the deep and margin parts, the three-dimensional metallogenic prediction method has gradually be-come an important method of breakthrough in ore-exploration work with its quantitative, mul-ti-dimensional and visual advantages. Based on the previous research, this paper applies the three-dimensional visualization prediction method and technical framework of concealed ore body to the deep prediction of Jinchuan Cu-Ni sulfide deposit, summarizes the conceptual model of Jinchuan ore body’s location, and constructs a three-dimensional geological body model. The ore-forming information extraction method is used to obtain the ore-controlling factor, and thus a three-dimensional prediction model is established based on multiple linear regression method. The research shows that the prediction results obtained by this paper are consistent with the geological research conclusions, which can provide quantitative guidance for deep prospecting work.
文章引用:商清华, 毛先成. 甘肃金川铜镍硫化物矿床三维可视化预测[J]. 地球科学前沿, 2019, 9(3): 121-128. https://doi.org/10.12677/AG.2019.93015

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