Noise Attenuation for Seismic Data by Hyperbolic-Trace Time-Frequency Peak Filtering

Time-frequency peak filtering (TFPF) is a method commonly used for seismic random noise attenuation due to its excellent practical application. However, a conventional TFPF often produces significant deviations at the peak or valley of the signal where the linearity is poor. Here, we propose a novel hyperbolic-trace TFPF (HT-TFPF) approach to reduce these deviations and recover the effective signal more completely. In this method, a hyperbolic trace with a certain curvature is ascertained by fitting the reflection event to scan the seismic record. Data sequences are extracted from the seismic record along these hyperbolic traces, and their linearity is greatly improved. Then, they are taken as a new input for TFPF. HT-TFPF can preserve the signal amplitude while achieving an excellent performance of noise suppression with a long unbias window length. Tests on both synthetic records and common shot point data indicate that the HT-TFPF method can attenuate more random noise and recover events more clearly and continuously than the conventional TFPF.