WANG Wan-Yin, LUO Xin-Gang. 2023. Research on edge depth inversion of 2D geological body based on gravity and magnetic field. Geophysical and Geochemical Exploration, 47(3): 547-562. doi: 10.11720/wtyht.2023.1464
| Citation: |
WANG Wan-Yin, LUO Xin-Gang. 2023. Research on edge depth inversion of 2D geological body based on gravity and magnetic field. Geophysical and Geochemical Exploration, 47(3): 547-562. doi: 10.11720/wtyht.2023.1464
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Research on edge depth inversion of 2D geological body based on gravity and magnetic field
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1. Institute of Gravity and Magnetic Technology, Chang'an University, Xi'an 710054, China;
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2. College of Geology Engineering and Geomatics, Chang'an University, Xi'an 710054, China;
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3. Key Laboratory of Western China's Mineral Resources and Geological Engineering, Ministry of Education, Chang'an University, Xi'an 710054, China;
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4. National Engineering Research Center of Offshore Oil and Gas Exploration, Beijing 100028, China;
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5. Department of Earth Sciences, Memorial University of Newfoundland, Newfoundland A1B3X5, Canada
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Corresponding author:
LUO Xin-Gang
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Abstract
The edge depth of geological body plays a crucial role in the semi-quantitative interpretation of gravity and magnetic potential field exploration. At present, the main inversion methods of geological body edge depth mainly include Werner deconvolution method, analytical signal amplitude method, local wave number method, Tilt-depth method, Euler deconvolution method and curvature attribute inversion method. These methods all have problems of solution selection, stability and adaptability. This paper mainly studies the adaptability of different types of data and models. Through basic principle analysis and model test, the results show that Werner deconvolution method and Euler deconvolution method are applicable to the most types of data sources, followed by curvature attribute, and Tilt-depth is the least; Werner deconvolution method, Euler deconvolution method and curvature attribute methods can adapt to many models, the Tilt-depth is least. For gravity data, the analytical signal amplitude of the first vertical derivative as the data source is applicable to all methods. For magnetic data, the analytical signal amplitude as data source is applicable to all methods. At the same time, it is suggested that other scholars should follow the following principles when using these methods to invert the edge depth of the two-dimensional body: It is recommended that Werner deconvolution is preferred, followed by curvature attribute and Euler deconvolution. The gravity data source of Werner deconvolution method and Euler deconvolution method is recommended to use the horizontal derivative of the first vertical derivative, and the magnetic data source is recommended to use the horizontal derivative. The gravity data source of curvature attribute method is recommended to use the analytical signal amplitude of the first vertical derivative, and the magnetic data source is recommended to use the analytical signal amplitude. In addition, based on the above research conclusions, some suggestions on the future research directions of the solution screening, stability and adaptability of the edge depth inversion are given.
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