分布式声传感器井中背景噪声统计特性分析

分布式声传感器技术(DAS: Distributed Acoustic Sensor)是一种新近提出的高精度勘探数据采集方法,受制于复杂背景噪声的影响,DAS记录处理水平有待进一步提高.针对上述问题,采用基于替代序列的时间序列平稳性检验方法和Lilliefors检验法对DAS记录中复杂背景噪声的平稳性和高斯性进行研究.用以分析的实际地震数据是按照勘探工业要求采集的井中DAS记录.研究结果表明,DAS背景噪声是非平稳、非高斯随机过程且噪声特性随记录时长发生变化.相关研究成果实现了针对DAS背景噪声特性的可靠认知,对提高DAS记录处理水平具有重要参考价值.

Statistical Analysis for Background Noise of Borehole Distributed Acoustic Sensing

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.