Multichannel Abnormal Amplitude Reserving Attenuation Based on Data Random Reconstruction and Its Application

Abstract

In some complex seismic exploration environment , seismic data often contains some continuous multichannel abnormal amplitudes caused by environment factor (wind, grass, water, etc.), which seriously affects the signal-to-noise ratio and imaging quality of seismic data. This kind of noise has certain randomness, it has no certain frequency and apparent velocity, existing almost in the whole record length in time, but it also has some determined properties, which is it happens in some certain areas in survey. Due to the random properties and the continuous existence in a large number traces, it is very hard to remove this kind of multi-channel strong energy noise completely under the amplitude preserved conditions directly in shot domain or detection domain or other domain, and the residual strong energy noise will still seriously affects the final imaging quality.