Seismic pre-stack data optimization method and device based on improved BEMD algorithm

The invention belongs to the field of seismic data processing and data optimization, and particularly relates to a seismic pre-stack data optimization method and device based on an improved BEMD algorithm. According to the method, an improved BEMD algorithm and a self-adaptive denoising algorithm are utilized, and a pre-stack gather is decomposed into feature signals of different scales. And carrying out threshold-based orthogonal wavelet transform denoising on each component to remove most of noise. And then, calculating a correlation coefficient between each component and the original data, and reconstructing the data based on the correlation coefficient. According to the method, effective signals are reserved to the maximum extent, interference of noise signals is removed, the signal-to-noise ratio of the pre-stack gather is increased, and a good data basis is provided for a subsequent earthquake prediction algorithm. 本发明属于地震资料处理与数据优化领域，特别是一种基于改进BEMD算法的地震叠前数据优化方法及设备。本发明方法利用改进BEMD算法和自适应去噪算法，将叠前道集分解为不同尺度的特征信