Wavelet Neural Network Method for Acoustic Logging-While-Drilling Waveform Data Compression

A large of logging data must be stored in downhole imminently in the acoustic logging-while-drilling of petroleum engineering. In this paper, an efficient data compression algorithm based on wavelet networks for acoustic wave data is presented. The experiment result shows the features of algorithm such as fast parameter approximation rate and high compression ratio. It can meet the need of the high-speed real-time processing in petroleum engineering.