丁家山铅锌矿床三维可视化预测及其修正
Three-Dimensional Visualization Prediction Model and Its Correction of Dingjiashan Pb-Zn Deposit
DOI: 10.12677/AG.2019.94023, PDF,   
作者: 丁 豪, 毛先成：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: 三维可视化预测；剩余磁异常；预测模型修正；丁家山铅锌矿床；3D Visualization Prediction； Residual Magnetic Anomaly； Predictive Model Correction； Dingjiashan Pb-Zn Deposit
摘要: 针对丁家山铅锌矿床深部找矿的需要，采用三维可视化预测方法，实现隐伏矿体的定位定量预测。通过成矿环境、成矿规律和矿化分布规律分析，建立矿体定位概念模型；建立丁家山地质体三维模型，采用距离场分析、坡度分析及趋势–起伏分析等方法，提取不整合面距离场因素、不整合面趋势–起伏因素等控矿因素；采用非线性回归方法，建立矿体三维预测模型，对丁家山铅锌矿床深部立体单元铅锌品位及金属量进行预测。对于预测结果的可靠性随着预测深度增加而逐步降低的问题，采用剩余磁异常驱动的模型修正方法，提高隐伏矿体三维预测模型的可靠性与准确性。
Abstract: Aiming at the needs of deep prospecting in the Dingjiashan Pb-Zn deposit, a three-dimensional visualization prediction method was used to quantitatively predict the location of concealed ore bodies. By analyzing its ore-forming environment, metallogenic regularity and mineralization distribution law, a conceptual model of orebody location was established. The three-dimensional model of Dingjiashan geological bodies was established. The distance field analysis, slope analysis of geological interface and trend-undulation analysis of geological were used to extract ore-controlling factors such as distance field factors and unconformity surface trend-undulation factors. The nonlinear regression method was used to establish a three-dimensional prediction model of the ore body, and the Pb-Zn grades and metal amounts in the deep three-dimensional unit of the Dingjiashan Pb-Zn deposit were predicted. For the problem that the reliability of the prediction results decreases gradually with the increase of the prediction depth, this paper used the residual magnetic anomaly to modify the model, which help improve the reliability and accuracy of the three-dimensional prediction model of the concealed ore bodies.
文章引用：丁豪, 毛先成. 丁家山铅锌矿床三维可视化预测及其修正[J]. 地球科学前沿, 2019, 9(4): 199-211. https://doi.org/10.12677/AG.2019.94023

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