Polarization filtering constrained by classified energy in the wavelet domain
Cheng Bingjie1,2,3, Hu Zhiquan4, Xu Tianji4, Cao Lun1,3
1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, CDUT, Chengdu, Sichuan 610059, China;
2. Meteorological information and Signal Processing Key Laboratory of Sichuan Higher Education Institutes, Chengdu University of Information Technology, Chengdu, Sichuan 610225, China;
3. Key Laboratory of Earth Exploration & Information Technology, Ministry of Education, CDUT, Chengdu, Sichuan 610059, China;
4. Exploration & Production Institute, Southwest Oil & Gas Branch Co., SINOPEC, Chengdu, Sichuan 610041, China
Abstract：Based on the polarization difference, surface disturbance can be attenuated by polarization filtering methods. We propose in this paper an approach of polarization filtering constrained by classified energy in the wavelet domain. This approach combines energy, frequency, apparent velocity with polarization attributes in surface wave attenuation. This is why it can suppress surface waves as much as possible and preserve signals from surface disturbance. This polarization filtering constrained by classified energy in the wavelet domain is applied to multi-component data in Xinchang reservoir in the Sichuan Basin, the southwest of China, and the signal-noise ratio of multi-wave data is greatly improved.
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