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Efficient 2D Modeling of Magnetic Anomalies Using NUFFT in the Fourier Domain

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Abstract

We have investigated different Fourier domain approaches to calculate the magnetic anomaly of an arbitrarily shaped geological body with arbitrary magnetic susceptibility distribution, and compared different Fourier domain solutions of each approach with respect to accuracy and speed for any model. Both standard fast Fourier transform (FFT) and nonuniform fast Fourier transform (NUFFT) were used in the Fourier domain solution technique. The simulation results demonstrated that the standard FFT method with grid expansion has a great advantage in computing performance. However, the influence of aliasing, edge effect, and imposed periodicity limit the accuracy. The NUFFT method with a suitable wavenumber optimization scheme can avoid these problems, especially in minimizing the influence of the edge effect. In addition, a fast algorithm for undulating terrain was proposed, and these results showed that the more the number of grid nodes interpolated between the lowest and highest points of the undulating terrain, the greater the speed advantage of the fast algorithm. Finally, simple, complex, and real undulating topography models were designed to further reveal the reliability and stability of the NUFFT method.

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Funding

National Natural Science Foundation of China, 42074165, Liu Jianxin, the project for the independent exploration of graduate students at Central South University, 2020zzts187, Wang Xulong, Guangdong Provincial Marine Economy Special Project, GDNRC[2021]57, Zhang qianjiang, Guangxi Science and Technology Base and Talent Project, AD19110058, Zhang qianjiang.

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Correspondence to Dongdong Zhao.

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The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Wang, X., Zhao, D., Liu, J. et al. Efficient 2D Modeling of Magnetic Anomalies Using NUFFT in the Fourier Domain. Pure Appl. Geophys. 179, 2311–2325 (2022). https://doi.org/10.1007/s00024-022-03031-x

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  • DOI: https://doi.org/10.1007/s00024-022-03031-x

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