Ground roll attenuation using improved complete ensemble empirical mode decomposition
Chen, W., Chen, Y. and Liu, W., 2016. Ground roll attenuation using improved complete ensemble empirical mode decomposition. Journal of Seismic Exploration, 25: 485-495. Empirical mode decomposition (EMD) is a fully adaptive signal decomposition algorithm. It has been used to attenuate both random noise and coherent ground roll by removing the first one or two decomposed components in each frequency slice, which acts as a dip filter to separate different wavenumber components. The mode-mixing problem is the biggest drawback of this decomposition technique, which refers to the phenomenon that the each decomposed component is related with multiple oscillating frequencies. Noise-assisted variations of EMDs, like ensemble empirical mode decomposition (EEMD) and complete ensemble empirical mode decomposition (CEEMD), can solve the mode-mixing problem to some extent but will cause other problems, such as strong residual noise and spurious artifacts. The newly developed improved complete ensemble empirical mode decomposition (ICEEMD) are intended to solve the two drawbacks of CEEMD. In this paper, we propose to apply the ICEEMD algorithm for removing the highly oscillating components in seismic data, mainly corresponding to the ground roll noise, by removing the first decomposed component of each frequency slice. The performance is compared with the FK-based and CEEMD-based approaches and is demonstrated to be very successful.
- Bekara, M. and van der Baan, M., 2009. Random and coherent noise attenuation by empirical mode
- decomposition. Geophysics, 74: V89-V98.
- Chen, Y. and Ma, J., 2014. Random noise attenuation by f-x empirical mode decomposition
- predictive filtering. Geophysics, 79: V81-V91.
- Chen, Y., Zhang, G., Gan, S. and Zhang, C., 2015. Enhancing seismic reflections using empirical
- mode decomposition in the flattened domain. J. Appl. Geophys., 119: 99-105.
- Chen, Y., Zhou, C., Yuan, J. and Jin, Z., 2014. Application of empirical mode decomposition to
- random noise attenuation of seismic data. J. Seismic Explor., 23: 481-495.
- Claerbout, J.F., 1983. Ground roll and radial traces. Stanford Exploration Project Rep., SEP-35:
- 43-53.
- Colominas, M.A., Schlotthauer, G. and Torres, M.E., 2014. Improve complete ensemble emd: A
- suitable tool for biomedical signal processing. Biomed. Signal Process. Contr., 14: 19-29.
- Han, J. and van der Baan, M., 2013. Empirical mode decomposition for seismic time-frequency
- analysis. Geophysics, 78: 09-019.
- Han, J. and van der Baan, M., 2015. Microseismic and seismic denoising via ensemble empirical
- mode decomposition and adaptive thresholding. Geophysics, 80: KS69-KS80.
- Henley, D.C., 2003. Coherent noise attenuation in the radial trace domain. Geophysics, 68:
- 1408-1416.
- Huang, N.E., Shen, Z., Long, S.R., Wu, M.C. Shih, H.H., Zheng, Q., Yen, N.-C., Tung, C.C.
- and Liu, H.H., 1998. The empirical mode decomposition and the Hilbert spectrum for
- nonlinear and non-stationary time series analysis. Proc. Roy. Soc., London Series A, 454:
- 903-995.
- Milton, P., Silva, M.G., Melo, E.M. and Ursin, B., 2009. Ground-roll attenuation based on svd
- filtering. Expanded Abstr., 79th Ann. Internat. SEG Mtg., Houston: 3381-3385.
- Saatilar, R. and Canitez, N., 1988. A method of ground-roll elimination. Geophysics, 53:
- 894-902.
