Abstract
In gravity-anomaly-based prospecting, the computational and memory requirements for practical numerical modeling are potentially enormous. Achieving an efficient and precise inversion for gravity anomaly imaging over large-scale and complex terrain requires additional methods. To this end, we have proposed a new topography-capable 3D numerical modeling method for gravity anomalies in space-wavenumber mixed domain. By performing a two-dimensional Fourier transform in the horizontal directions, threedimensional partial differential equations in the spatial domain were transformed into a group of independent, one-dimensional differential equations engaged with different wave numbers. These independent differential equations are highly parallel across different wave numbers. This method preserves the vertical component in the space domain, which is beneficial when modeling complex topography. The finite element method was used to solve the transformed differential equations with different wave numbers, and the efficiency of solving fixedbandwidth linear equations was further improved by a chasing method. In a synthetic test, a prism model was used to verify the accuracy and reliability of the proposed algorithm by comparing the numerical solution with the analytical solution. We studied the computational precision and efficiency with and without topography using different Fourier transform methods. The results showed that the Guass-FFT method has higher numerical precision, while the standard FFT method is superior, in terms of computation time, for inversion and quantitative interpretation under complicated terrain.
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Acknowledgements
The authors are very grateful to the three reviewers and editor-in-chief Fan Weicui for their critiques, helpful comments, and valuable suggestions which improved this manuscript significantly. In addition, we would like to thank Prof. Xu Yungui and Associate Prof. Chen Longwei for their guidance and help during the development of this paper.
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This work was supported by the Natural Science Foundation of China (No. 41574127), the China Postdoctoral Science Foundation (No. 2017M622608), and the project for the independent exploration of graduate students at Central South University (No. 2017zzts008).
Dai Shi-Kun, professor, doctoral supervisor. He received his M.S. (1991), Ph.D. (1994) from China University of Geosciences and Ocean University of China, respectively. He completed his postdoctoral fellowship (1997) and worked later at China University of Petroleum (Beijing). He was employed at Central South University (2011), and the main interests are 3D forward modeling, inversion and related software development of gravity, magnetic, electromagnetic and seismic data.
Zhao Dong-Dong received his M.S. (2016) in Earth Exploration and Information Technology from Central South University. He is presently a Ph.D. candidate in Geological Resources and Geological Engineering at Central South University. His main interests is 3D forward modeling of gravity, magnetic and electromagnetic data.
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Dai, SK., Zhao, DD., Zhang, QJ. et al. Three-dimensional numerical modeling of gravity anomalies based on Poisson equation in space-wavenumber mixed domain. Appl. Geophys. 15, 513–523 (2018). https://doi.org/10.1007/s11770-018-0702-9
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DOI: https://doi.org/10.1007/s11770-018-0702-9