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International Journal of Frontiers in Engineering Technology, 2022, 4(9); doi: 10.25236/IJFET.2022.040901.

Construction of 3D Metallogenic Model of Deep Metal Minerals Based on Geophysical Exploration

Author(s)

Jiangbing Sun, Yan Zhang, Zijuan He

Corresponding Author:
Jiangbing Sun
Affiliation(s)

Geological Data Archives of Jiangsu Province, Nanjing, 210012, China

Abstract

In the process of rapid economic development, the demand for mineral resources is increasing day by day. Mineral resources are important basic resources in China's social development, and play a very important role in promoting China's industrial production and economic development. At present, the traditional mining methods of mineral resources can't meet the current demand, so in order to alleviate the shortage of resources, it is necessary to explore and mine deep mineral resources. Based on this, this paper takes deposit geology, geographic information science and computer science as theoretical basis, comprehensively applies computational geometry method, computer graphics and image processing method, geological statistics method, etc. to study deep metal minerals based on geophysical exploration, and constructs a 3D metallogenic model. In this paper, based on the establishment of MSAccess database, the 3D spatial model of the deposit is established by using the borehole data based on ArcScene. With the analysis system developed based on ArcGISEngine, it carries out graphic management, data management, 3D display, 3D spatial analysis and geostatistical analysis. This provides a reliable reference for the future wide application of geophysical methods, and provides another idea and method reference for the establishment of 3D models.

Keywords

Geophysical exploration; Metal minerals; 3D modeling

Cite This Paper

Jiangbing Sun, Yan Zhang, Zijuan He. Construction of 3D Metallogenic Model of Deep Metal Minerals Based on Geophysical Exploration. International Journal of Frontiers in Engineering Technology (2022), Vol. 4, Issue 9: 1-5. https://doi.org/10.25236/IJFET.2022.040901.

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