Radial Trace Time-Frequency Peak Filtering And Its Application On Random Noise Attenuation For Seismic Data

Seismic exploration plays an important role in prospecting mineral resources, oil,and natural gas, etc. With the aid of artificial simulated seismic wave and its propagationprocess near the earth surface, we could display detectors, receive reflected waves andobtain seismic record from different layers of the earth, through which a further set ofseismic signal processing and interpretation work is needed to identify the geologicalstructures of the earth. However, due to the large amount of random noise among theseismic record, the interference has a great effect on further processing and interpretation.Therefore, finding an effective method to suppress the random noise in seismic record isa primary task in seismic data processing.By far, dozens of different methods have been used to suppress the random noise,among which the Time-frequency peak filtering (TFPF), proposed by Boashash in2004,is a hotspot for signal enhancement. The fundamental principle is that the noisy signal isfirstly encoded as the instantaneous frequency (IF) of an analytic signal by frequencymodulation. Then, the signal is recovered by taking the peak of time-frequencydistribution (TFD) of the analytic signal, so that the random noise is reduced and thesignal is enhanced. Experiments show that even when the signal to noise ratio (SNR) isdown to-9dB, the signal could be effectively recovered. Now, TFPF has already beenapplied to noise attenuation for Seismic Data.This paper combines TFPF with the radial trace transform and discusses itsperformance in seismic random noise suppression, expanding another application field ofthe radial trace transform. The radial trace TFPF algorithm has both advantages of theradial trace transform and TFPF, and meanwhile can overcome some shortages of TFPF,such as application conditions, error production, and limitations, etc. However, to obtainthe expectant purpose of the radial trace TFPF, some basic problems in the realizationprocess need intensive study. In this paper, by considering both the interval of the radialtraces in the radial trace transform and the interpolation after the transform, we sum upsome useful results and give some suitable parameters of the radial trace TFPF, and thenapply the conclusions in seismic random noise suppression. By doing plenty of experiments, the validity and usability of the algorithm has beenapproved. When applied to synthetic seismic signal and real seismic data, the resultsshow that the radial trace TFPF provide better performance not only in effective signalpreservation, but also in random noise attenuation than the conventional TFPF. Besides,the SNR is also raised, making some originally buried reflection events revealed,enhanced, more continuous and compact, which contributes immensely to furtherprocessing and interpretation.