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Acoustic logging commonly produces a large amount of data, which will result in the difficulty of real-time data transmission when the transmission rate of logging cable is low. In this case the data can be stored down-hole by using logging instrument of storage type. In order to reduce the storage pressure of logging instrument, the acoustic data need to be compressed. This paper presents a set of data compression system using LZW algorithm integrating with MED prediction. For the system’s implementation, OK6410 microprocessor was used by employing Linux as the embedded operating system. The developed system has realized the functions of acoustic logging data compression, data storage, data transmission and data decompression. Through system test and experimental analysis, it is proved that the system can achieve lossless data compression for acoustic logging with stable and reliable performance.