论文详情
In the southern part of the Ordos Basin,the Loess Tableland features a particularly thick loess layer.Seismic data usually exhibit a strong small-offset strong energy noise,as well as a shallow broadband strong refraction noise.The coherent noise suppression and the frequency-division abnormal amplitude attenuation are commonly utilized noise suppression methods in these cases.However,in practical applications,these methods do not perform well in terms of signal-noise separation,and they exhibit boundary effects and spatial spurious frequencies.The Loess Tableland is characterized by flat layers,small reflection dip angles,and limited energy variations in the effective signal during a recording time interval.Therefore,a data reconstruction method based on random function is utilized to transform the small-offset strong energy noise and the shallow broadband strong refraction noise into a random strong energy noise,which can be suppressed using the frequency-division abnormal amplitude attenuation.The application to experimental data showed that the method can solve the problem of noise suppression and improve the signal-to-noise ratio of the seismic data in areas of the Loess Tableland with thick loess layers.
国家重大科技专项(2017ZX05069)及“长庆油田5000万吨持续高效稳产关键技术研究与应用”课题三(2016E-0503)共同资助。