Data Pre-processing Method of Explosion Seismic Waves Based on Cross-Correlation Analysis

Seismic Waves can easily be affected by random interference generated from the explosion source, propagation medium, and topography, resulting in zero shift or great dispersion. Therefore, data pre-processing is necessary for validity determination. This paper presents a data pre-processing method based on cross-correlation theory, which considers the waves' zero shift and similarity as objects. A data pre-processing flow wherein zero drift assessment precedes similarity assessment is introduced. The results obtained by processing the data collected from six groups of explosion seismic waves reveal that the data pre-processing method is feasible and effective, and can satisfactorily distinguish the waves' zero drift and similarity degree and provide effective data support for subsequent seismic wave post-processing, such as spectrum analysis, wavelet transforms, and Hilbert-Huang transforms.