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Footprint analysis and footprint-FFT-based fast forward modeling of potential fields |
SUN Si-Yuan( ), GAO Xiu-He, CAO Xue-Feng |
China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China |
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Abstract Conventional inversion and forward modeling of large-scale potential field data from gravity and magnetic exploration, demanding high computer performance, exhibit low efficiency. Hence, this study defined a footprint determination method for potential fields, analyzed the influencing factors, and innovatively proposed a footprint-FFT strategy for forward modeling of potential fields. The footprint-FFT algorithm improved the forward modeling process from three aspects: (1) Kernel matrices were calculated based on the potential field-derived properties, significantly reducing their size; (2) A footprint concept for potential fields was introduced and defined, decoupling data scales from kernel matrix sizes, thus improving the kernel matrix computing efficiency and reducing the hardware cost; (3) Based on the above, the computing area was divided into subspaces, and the footprint-FFT strategy was first proposed for the batch computing of potential fields in subspaces, accelerating the forward modeling process. By reducing the computational complexity and storage of the kernel matrix, the method proposed in this study significantly improved the operational speed while ensuring computational accuracy. This method enabled the fast forward modeling of potential fields with more than 1 billion grids on a laptop computer within a few minutes. Theoretical examples demonstrate that this method has high efficiency and moderate requirements for computer configuration, manifesting considerable potential in the forward modeling and inversion of large-scale potential field data.
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Received: 13 October 2023
Published: 26 February 2025
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The equivalent diagram for footprint of potential field
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The relationship between radiuses of footprint and calculation
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Curves of contributions for fields with calculation radius (color dots represent radius of footprint for different fields)
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Footprint radius of Vz and Vxx varies with (a) depth of region, (b) observation height, and (c) grid dimension
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The Schematic of footprint-FFT method
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The forward modeling results of rectangular anomalies a—gravity field;b—magnetic field in perpendicular magnetization mode;c—magnetic field in incline magnetization mode
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The absolute errors between our method and analytical solution a—gravity field;b—magnetic field in perpendicular magnetization mode;c—in incline magnetization mode
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Depth variations of basement for Bishop complex model
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Variations of magnetic susceptibility for basement of Bishop model
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The forward modeling results of Bishop model for (a) gravity field and (b) magnetic field
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