Automatic identification of fake patterns caused by short-width wavelets in seismic data

作者：Tawfiek, Ahmed Mohamed^*; Tan, Guanzheng^*; Hafez, Ali G.; Al-Amri, Abdullah; Alarif, Nassir; Abdelrahman, Kamal

来源：Arabian Journal of Geosciences, 2016, 9(11): 580.

DOI：10.1007/s12517-016-2578-4

• Seismic data
• Haar wavelet
• Multi resolution analysis (MRA)
• Spectrum leakage
• Fake patterns

Despite the popularity of using the Haar wavelet filter in many applications, it sometimes introduces fake patterns into the multi resolution analysis (MRA) of seismic data. In this work, we compared different wavelet filters to demonstrate that these patterns are fake and not part of the original waveforms and to show that they are a result of using the Haar wavelet filter as a short-width wavelet. To achieve this, many seismic waveforms from two different sources: the Egyptian National Seismic Network (ENSN) and the High Sensitivity Seismograph Network Japan (Hi-net) are used with different wavelet filters. We propose an algorithm based on an autoregressive (AR) model to detect these patterns automatically and fully.

• 出版日期2016-8
• 单位中南大学