Adaptive Seismic Data Compression Using Wavelet Packets

Modern seismic exploration produces vast amount of data that may exceed 100-Tbytes. Besides that, as more data are processed and integrated on workstations, more data transfer among the workstations through the local area networks is required. High compression algorithms are then desirable to make seismic data procession more efficient in terms of storage and transmission bandwidth. Most of current algorithms used for seismic data compression are based on wavelet or LCT (local cosine transform), which can only achieve modest compression rations and may result in visible degradation in high rates compression. In this paper, an adaptive seismic data compression method is presented based on wavelet packets transform, which can achieve higher compression rates and have no visible artifacts in reconstructed data.