Different seismic data compression algorithms have been developed in or-der to make the storage more efficient, and to reduce both the transmission time and cost. In general, those algorithms have three stages: transforma-tion, quantization and coding. The Wavelet transform is highly used tocompress seismic data, due to the capabilities of the Wavelets on representing geophysical events in seismic data. We selected the lifting scheme to implement the Wavelet transform because it reduces both computational and storage resources. This work aims to determine how the transforma-tion and the coding stages affect the data compression ratio.Several 2Dlifting-based algorithms were implemented to compress three different seis-mic data sets. Experimental results obtained for different filter type, filterlength, number of decomposition levels and coding scheme, are presented in this work.