Abstract：Downward continuation of potential field data plays an important role in gravity and magnetic data interpretation. Tikhonov regularization method is an effective method for the downward continuation of potential field. The key of this method is regularization parameter selection, which directly affect the precision and the computation time of the downward continuation. In order to effectively choose a regularization parameter, this paper proposes a new selection method based on the radial-average power spectrum of the potential field. The new method builds the relationship between the two cutoff wavenumbers which are respectively decided by the radial-average power spectrum and the Tikhonov regularization low-pass filter. Tests on theoretical gravity model and real aeromagnetic data shows that the Tikhonov downward continuation precision based on the regularization parameter selection with the proposed method is more accurate than the L-curve and C-norm methods. Moreover, the proposed method is easy to be realized.
曾小牛, 李夕海, 陈鼎新, 杨晓云. 基于径向谱的位场向下延拓正则参数选取方法[J]. 石油地球物理勘探, 2015, 50(4): 749-754.
Zeng Xiaoniu, Li Xihai, Chen Ding-xin, Yang Xiaoyun. New regularization parameter selection for potential field downward continuation based on the radial spectrum. OGP, 2015, 50(4): 749-754.
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