【摘要】 地震数据去噪在地震资料处理中是必不可少的步骤,随着地震勘探的日益发展与进步,对地震资料的信噪比提出了更高的要求。曲波变换作为新兴的多尺度变换方法,在地震资料去噪中拥有巨大的潜力。提出了一种基于曲波变换的面波去噪方法:首先对经过预处理的含噪信号进行多尺度分解,然后在各尺度下尽可能提取出有效信号的曲波系数,同时去除噪声的曲波系数,最后用曲波逆变换重构出地震信号,从而达到去噪目的。试验结果验证了曲波变换去噪的可行性。更多还原

【Abstract】 Seismic data denoising is an essential step in seismic data processing.With the progress and development of seismic prospecting,higher requirements are put forward for removing signal-to-noise ratio(SNR)and resolution improvement of seismic data.The curvelet transform has huge potential for seismic denoising as it is one of the recently developed multiscale transforms methods.In this paper,it is started from the curvelet transform theory to introduce the features of multi-scale and multi-resolution.Then the method of surface wave denoising of seismic data is described in detail.Finally,the model data and real data are selected for testing.The experimental results verify the feasibility of curvelet transform denoising.更多还原