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Metallogenic prediction based on GIS through automatic database building and extraction of regional gravity and magnetic structure

机译:基于GIS通过自动数据库建设及区域重力提取的成矿预测

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The application of intelligent geophysical interpreting, technology of mapping and database building based on GIS have been discussed under the guidance of the theory and the method of the mineral resources prediction of synthetic information in this paper. The automatic extraction of regional gravity and magnetic structures to build databases has been realized. With the prediction of the iron mine as a case, the whole process of the application of synthetic information in minerals' prediction of GIS technology has been stated. Through the realization of the data process of regional gravity and magnetic data, and of line-ring structure extraction, geophysical spatial information and map databases have been automatically built. Through a combination of geological and geophysical interpretation, the spatial information and map databases of geophysical ore-finding (iron mine) have been built. Through model units, an ore-finding model of comprehensive information has been built. Through geological units, geophysical-geological spatial information and map databases of synthetic information of predictive models have been built. According to the requirement of different mathematical models for mineral prediction of synthetic information for the data models, the spatial information in the synthetic information databases of predictive models has been extracted, and the geological variables have been converted, and then converted mutually into a digital geological multivariate statistical variable matrix. Different statistic prediction models of the multivariate statistical methods have been established to complete the whole process of metallogenic prediction by the computer.
机译:在本文综合信息矿产资源预测的理论和矿产资源预测的指导下,讨论了基于GIS的智能地球物理解释,映射和数据库建设技术的应用。已经实现了建立数据库的区域重力和磁性结构的自动提取。随着铁矿的预测作为一种情况,已经说明了在矿物质矿物质中应用合成信息的整个过程。通过实现区域重力和磁数据的数据过程,以及线环结构提取,地球物理空间信息和地图数据库已经自动构建。通过地质和地球物理解释的组合,建立了地球物理矿石发现(铁矿)的空间信息和地图数据库。通过模型单位,建立了综合信息的矿石调查模型。通过地质单位,建立了地球物理 - 地质空间信息和预测模型的合成信息的地图数据库。根据对数据模型的合成信息的矿物预测不同数学模型的要求,提取了预测模型的合成信息数据库中的空间信息,并转换了地质变量,然后相互转换为数字地质多变量统计变量矩阵。已经建立了多变量统计方法的不同统计预测模型,以完成计算机的整个成矿过程。

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