Abstract:Compression of seismic data is a key technique for solving a great amount of transportation and storage of seismic data.Aimed at the feature of signals and noises in seismic data,the paper selected the compressed method of seismic data based on wavelet transform.The method includes:vD 2-D wavelet transform of seismic signals;②using correlation between the coefficients to reorganize the transformed coefficients by zero-tree coding method; threshold-operational and quantitative processing of coefficients;① using adaptive arithmetic code for entropy coding of quantitative coefficients without loss.The method can implement hi-fi compression with high rate of seismic signals.The compressed results of typical seismic signals showed that there would be no distinct loss of information after decompression when the compressed ratios are above 50:1.