| 徐萍,宦长明,贾磊,丁海红,陈鹏超,林迎洁.基于地质三维建模的矿床蚀变带深部资源预测方法[J].矿产勘查,2024,15(6):1025-1031 |
| 基于地质三维建模的矿床蚀变带深部资源预测方法 |
| A method for predicting deep resources in altered zone of ore deposit based on 3D geological modeling |
| 投稿时间：2022-11-23 修订日期：2023-06-07 |
| DOI：10.20008/j.kckc.202406012 |
| 中文关键词: 深部资源 矿床 定量预测 地质三维模型 蚀变带 资源预测评价 |
| 英文关键词: deep resources deposit quantitative prediction 3D geological model alteration zone resource prediction and evaluation |
| 基金项目:本文受江苏省有色金属华东地质勘查局基础研究专项资金项目“云南东川播卡矿区金矿控矿规律和找矿预测研究”（HDYS-KY2020-05）和“云南东川新山金矿构造复合部位富矿体产出规律研究”（HDYS-KY2020-06）联合资助 |
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| 中文摘要: |
| 随着矿产资源需求的持续增加，加之浅表矿产资源的逐渐匮乏，如何有效开发深部矿产资源成为国家重点研究课题之一。以往二维矿床信息无法确定精准的深部资源储量，阻碍矿产资源的开发进度，本文提出基于地质三维建模的矿床蚀变带深部资源预测方法研究。应用地质三维建模软件（GOCAD）与计算机技术，构建矿床蚀变带深部地质三维模型，以此为基础，确定最佳单元尺度，划分矿床蚀变带深部地质统计单元，提取矿床蚀变带深部地质变量，计算地质变量权重数值，探究深部地质统计单元之间的联系度，基于三维证据权法预测矿床蚀变带深部资源。实验数据显示：应用该方法获得的矿床蚀变带深部资源预测误差最小值为1.01%，充分证实了该方法的深部资源预测精度更高。 |
| 英文摘要: |
| With the increasing demand for mineral resources and the gradual shortage of shallow mineral resources， how to effectively develop deep mineral resources has become one of the national key research topics. In the past， two-dimensional deposit information could not determine the precise reserves of deep resources， which hindered the development progress of mineral resources. Therefore， a study on the prediction method of deep resources in the altered zone of deposit based on three-dimensional geological modeling was proposed. The geological 3D modeling software （GOCAD） and computer technology are applied to build the deep geological 3D model of the altered zone of the deposit. On this basis， the optimal unit scale is determined， the deep geological statistical unit of the altered zone of the deposit is divided， the deep geological variable of the altered zone of the deposit is extracted， the weight value of the geological variable is calculated， the relationship between the deep geological statistical units is explored， and the deep resources of the altered zone of the deposit are predicted based on the 3D evidence weight method. The experimental data shows that the minimum value of the prediction error of the deep resources in the altered zone of the deposit obtained by the proposed method is 1.01%， which fully confirms that the proposed method has a higher prediction accuracy of the deep resources. |
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