Abstract: Confined to the hostile environment of logging while drilling,the data transportation rate is very low,a real-time and on-line data compression algorithm is researched to compress the huge acoustic wave logging data.The subsection compression model had been proposed according to the characteristic of acoustic logging while drilling,the combination of prediction code and wavelet transform is put on the data compression.In this paper,the special predictor for the variation of base-line and the optimal and wavelet matching to the acoustic wave signal is put forward.The encode compression and lifting-scheme algorithms are applied to compress the base-line and wave data respectively to satisfy the real-time requirement of system.Experiment proves that the algorithm can compress the acoustic wave data efficiently with the characteristic reserved and white noise restrained and eliminated.

Key words: acoustic logging while drilling, data compression, prediction code, wavelet transform, compression ratio