A Study of the Parametric Modeling Algorithm for the Seismic Prospecting Random Noise

The existence of the random noise has a negative impact on the seismic prospecting records processing. An important step for improving attenuation methods is to scientifically characterize the properties of the seismic random noise. The modeling research is meaningful for cognizing the nature of the seismic random noise. In this study, we present a preliminary research of the parametric modeling for the seismic prospecting random noise. According the actual conditions of the seismic prospecting, a modeling algorithm based on fraction Brownian motion is proposed. By comparing the spectral properties between the noise data and its simulated results, the optimum parameter can be determined. We check the performance of the modeling algorithm by comparing the simulated record to the real noise data in terms of power spectral density and statistical moments. The experiments prove the appropriateness of our modeling algorithm.