Seismic data de-noising method based on VMD in time-frequency domain
HU Ruiqing1, HE Junjie1,2, LI Huafei1, ZHANG Xiaoli1, PEI Jiading1, LIU Yiwei1
1. Korla Branch, Geophysical Research Institute, BGP Inc., CNPC, Korla, Xinjiang 841001, China; 2. College of Earth Science and Engineering, Xi'an Shiyou University, Xi'an, Shaanxi 710065, China
Abstract:Strong noise interference is the primary factor that causes poor imaging of deep seismic data. A new idea applies a variable mode decomposition algorithm to noise suppression. Firstly, the analytical signals of seismic data are constructed by Hilbert-Huang transform (HHT), then the seismic data are converted into time-frequency domain where time-frequency slices are decomposed as instrinsic mode functions (IMFs) by the variable mode decomposition algorithm;then the energy distribution of effective signals and noises on the time-frequency slices is analyzed,and the time-frequency slices are reconstructed by the effective IMFs; and finally the slices are transformed back to the space-time domain to achieve the goal of noise suppression. The control of key parameters on the denoising effect of the algorithm has been analyzed on model data. The results of actual data have verified that the algorithm can effectively suppress strong random noises,and it is also effective for suppressing linear noises.
胡瑞卿, 何俊杰, 李华飞, 张晓莉, 裴家定, 刘亿伟. 时频域变分模态分解地震资料去噪方法[J]. 石油地球物理勘探, 2021, 56(2): 257-264.
HU Ruiqing, HE Junjie, LI Huafei, ZHANG Xiaoli, PEI Jiading, LIU Yiwei. Seismic data de-noising method based on VMD in time-frequency domain. Oil Geophysical Prospecting, 2021, 56(2): 257-264.
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