基于二维地质图的地质体模拟与立方格预测模型快速构建技术研究

项目名称： 基于二维地质图的地质体模拟与立方格预测模型快速构建技术研究

项目编号： No.41302262

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 天文学、地球科学

项目作者： 李楠

作者单位： 中国地质科学院矿产资源研究所

项目金额： 25万元

中文摘要： 本项目解决大比例尺成矿预测中,地质体预测要素模拟与成矿信息综合分析研究面临的两个关键技术问题--基于较少深部勘探工程控制点与地质认识约束的三维地质体界面自动拟合和高精度立方格预测模型快速构建--为大比例尺成矿预测提供有效的技术支撑，促进地质工作由二维向三维转换。本课题组以构造地质学、数学地质、大比例尺成矿预测技术流程以及相关的勘查技术方法为指导，在多年从事"探矿者"矿山勘查软件设计与开发的基础上，将上述两个关键技术归纳为多维地质建模问题，并开展相关数学模型研究。在解决了数学模型问题之后，应用三维动态建模、三维空间插值、曲面提取、快速空间检索、三维可视化等技术，提出解决上述两个关键问题的算法模型并开发原型程序，为预测要素快速模拟，成矿信息自动提取、识别、浓缩与优化提供技术支撑。同时，项目还将应用西藏某矿区实际数据对研究成果进行验证。

中文关键词： 定位预测；三维隐式建模算法；三维显示建模算法；协克里格插值；多源空间数据集

英文摘要： The project is planning to solve two key technology problems— rapidly modeling of high precision prediction model and geological surfaces automatic fitting based on the few control points and a lot of geological knowledge, which offers technical support for three-dimension metallogenic prognosis which integrates rapidly modeling, 3D visual analysis and orebody prediction for quality, quantity and probability. The project group has developed 3DExpolor Software for 3D mineral exploration. The project group will put forward solutions for rapidly modeling of high precision prediction model and geological surfaces automatic fitting by using theories of large-scale metallogenic prognosis, data from geological survey, mineral exploration, geochemical survey and geophysical survey, and cube prediction model. The research results will solve some of key techniques so as to extracting and integrated mineralization information. The techniques have independent intellectual property rights and satisfy the actual application requirements. The project is planning to test, analyze and amend by experiments of a mining area in Tibet. The research contents are as follows: ⑴. 3D geological surfaces automatic fitting model based on geological interfaces automatic fitting with few control points and geological knowledge ⑵

英文关键词： Prospectivity mapping；3D implicit modelling；3D explicit modelling；Cokriging Intepolation；multiple spatial datasets