Fidelity processing methods for improving signal-to-noise ratio and resolution of 3D seismic data in loess mountainous landforms
The surface condition of loess mountainous land forms is complex,the disturbance is strong,and the surface medium is heterogeneous.At the same time,due to the absorption attenuation of the surface thick loess,some problems have emerged in seismic data such as low signal-to-noise ratio,low main frequency,and narrow frequency band.After pre-stack fidelity noise attenuation processing,there are still random noise and scattering interference in the stack data after the pre-stack time migration,which restrict the precision accuracy of thin reservoirs.The proposed method in this paper breaks through the processing methods commonly em-ployed in the industry to improve the signal-to-noise ratio and resolution by four-dimensional de-noising in the F-XY domain and post-stack zero-phase de-convolution methods.In this paper,the method of Cadzow filtering in the FX domain is employed to realize the synchronous suppression of scattering interference and random noise of 3D post-stack data.On this basis,continuous wavelet transform is adopted to improve the resolution.Va-rious quality control methods are applied in each processing link to ensure the reasonable selection of para-meters,including noise profile,F-K spectrum,amplitude spectrum,time slicing,frequency division scanning,and well seismic calibration.The processing methods have good fidelity and can provide a good data basis for subsequent inversion and attribute analysis.
scattering interferenceCadzow filter in F-X domaincontinuous wavelet transformfidelity
万方数据
维普
