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Nonstationary signal inversion based on shaping regularization for random noise attenuation

Applied Geophysics 2020年第3期17卷 432-442页

作者： Yang Wu-Yang Wang Wei Li Guo-Fa Wei Xin-Jian Wang Wan-Li Chen De-wu Research Institute of Petroleum Exploration&Development-Northwest PetroChinaLanzhou 730020China. State Key Laboratory of Petroleum Resources and Prospecting CUP(Beijing)Beijing 102249China. CNPC Key Laboratory of Geophysical Prospecting CUP(Beijing)Beijing 102249China.

Prediction filtering is one of the most commonly used random noise attenuation methods in the industry;however,it has two ***,it assumes that the seismic signals are piecewise stationary and ***,the seismic signal exhibits nonstationary due to the complexity of the underground ***,the method predicts noise from seismic data by convolving with a prediction error filter(PEF),which applies inconsistent noise models before and after ***,the assumptions and model inconsistencies weaken conventional prediction filtering's performance in noise attenuation and signal *** this paper,we propose a nonstationary signal inversion based on shaping regularization for random noise *** main idea of the method is to use the nonstationary prediction operator(NPO)to describe the complex structure and obtain seismic signals using nonstationary signal inversion instead of *** from the convolutional predicting filtering,the proposed method uses NPO as the regularization constraint to directly invert the eff ective signal from the noisy seismic *** NPO varies in time and space,enabling the inversion system to describe complex(nonstationary and nonlinear)underground geological structures in *** synthetic and field data results demonstrate that the method eff ectively suppresses random noise and preserves seismic refl ection signals for nonstationary seismic data.

关键词： noise attenuation nonstationary inversion shaping regularization

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Continuous time-varying Q-factor estimation method in the time-frequency domain

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Applied Geophysics 2020年第5期17卷 844-856,904页

作者： Wang Qing-Han Liu Yang Liu Cai Zheng Zhi-Sheng College of Geo-exploration Science and Technology Jilin UniversityChangchun130026China

The Q-factor is an important physical parameter for characterizing the absorption and attenuation of seismic waves propagating in underground media,which is of great signifi cance for improving the resolution of seismic data,oil and gas detection,and reservoir *** this paper,the local centroid frequency is defi ned using shaping regularization and used to estimate the Q values of the *** propose a continuous time-varying Q-estimation method in the time-frequency domain according to the local centroid frequency,namely,the local centroid frequency shift(LCFS)*** method can reasonably reduce the calculation error caused by the low accuracy of the time picking of the target formation in the traditional *** theoretical and real seismic data processing results show that the time-varying Q values can be accurately estimated using the LCFS *** with the traditional Q-estimation methods,this method does not need to extract the top and bottom interfaces of the target formation;it can also obtain relatively reasonable Q values when there is no eff ective frequency spectrum ***,a reasonable inverse Q fi ltering result can be obtained using the continuous time-varying Q values.

关键词： local centroid frequency local time-frequency transform Q-factor estimation shaping regularization

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