A Seismic Reflection Signal Recognizing Algorithm Based on the Stationarity Testing
T. Zhong, Y. Li, B. Yang and S. Zhang
Event name: 24th European Meeting of Environmental and Engineering Geophysics
Session: Geophysics in Engineering Geology and Geotechnical A
Publication date: 09 September 2018
Info: Extended abstract, PDF ( 802.24Kb )
Price: € 20
In seismic prospecting, tracking the reflection events is the pathway for getting the accurate strata information. However, the existence of the seismic random noise prevents the recognizing of the reflection signals. Recently, the properties of the seismic random noise have been comprehensively discussed, especially in the statistical properties. It is shown that the random noise can be considered as a stationary process in a short period. In contrast, the seismic reflection signals are typically non-stationary. Here, a reflection signal recognizing algorithm, which is based on the stationarity testing, is proposed. The basic idea of the recognizing algorithm is to take advantage of the differences between the reflection signals and the random noise in terms of the stationarity. The experimental results demonstrate that the proposed method can recognize the reflection signals effectively, even the signal-to-noise ratio is low. Furthermore, the proposed method also has further application in the seismic noise attenuation.