基于小波分解的2D电法数据分析

Data Analysis of 2D Electrical Sounding Based on Wavelet Decomposition

野外电法测量得到的参数是地下一定空间范围内所有地质体的综合反映,而由于非均值围岩的影响,目标地质体的电性反映往往较为微弱,容易造成解释畸变或错误。利用小波分解法把电测数据分解为趋势分量和细节分量,其中细节分量可以认为是非均质围岩造成的,而趋势分量来源于探测对象。实例研究表明,小波分解后重建的电法数据能够较好地屏蔽非均质围岩对目标地质体的影响,从而突出异常的信噪比,反演结果对目标体的空间位置参数刻画得更加精细。

The electrical data obtained from field work, usually come from the combination of the entire geological body in some range of space. Incorrect interpretations would happen, due to the small signals from the surveyed target. An idea is presented, which decomposes electrical data by wavelet decomposition （WD）. The trend of WD can be deemed from the target, and the detail from the inhomogeneous surroundings. The study shows that the data after WD can eliminate the effects from the inhomogeneous surroundings, and raise the noise-signal ratio of the surveyed target. The idea is proved to be effective to improve accuracy of interpretation.