Wavelet Neural Network Method for Acoustic Logging-While-Drilling Waveform Data Compression
- Received Date: 2007-06-25
- Rev Recd Date: 2008-04-23
- Publish Date: 2008-12-15
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Key words:
- acoustic logging-while-drilling /
- conjugate grads algorithm /
- data compression /
- wavelet neural networks
Abstract: 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.
Citation: | ZHANG Wei, SHI Yi-bing, WANG Zhi-gang. Wavelet Neural Network Method for Acoustic Logging-While-Drilling Waveform Data Compression[J]. Journal of University of Electronic Science and Technology of China, 2008, 37(6): 900-903,921. |