关键词: 分布式声传感器(DAS), 背景噪声, 统计特性, 平稳性, 高斯性

Abstract: DAS (Distributed Acoustic Sensor) technology is a novel high-precision acquisition method. And DAS is considered as a new generation of seismic data acquisition technology which has the potential to replace the traditional seismometer array. However, the processing ability for the DAS records needs to be further improved due to the influence of complex background noise. To solve the problems, the stationarity and Gaussianity of complex DAS background noise are investigated by using the time series stationarity testing method based on substituted series and Lilliefors test method respectively. The actual seismic data analyzed are the borehole DAS records collected under the requirements of actual exploration industry. The results show that DAS background noise is a non-stationary and non-Gaussian random process. The noise characteristics have been tested changing with the noise recorder length. The accurate understanding for the characteristic of DAS background is obtained, which has potential significance for improving processing capability of DAS data.

Key words: distributed acoustic sensor ( DAS ), background noise, statistical properties, stationarity;Gaussianity