Enhancing prestack seismic data by sparse radon transform and dynamic waveform matching

Abstract In the field of complex underground geological structures and irregular topography, prestack seismic data often have a low Signal-to-Noise Ratio (SNR), where weakly reflected signals are buried beneath strong incoherent, scattered noise. Stacking, such as beamforming along moveout surfaces coherent local events, can significantly improve quality. Accurate efficient estimation for an acquisition geometry uneven illumination is important in environment. this paper, new optimal stacking approach enhancing weak reflection presented. The proposed method mainly includes regional division estimation. Optimal should be implemented within time space domains. Based on beam ray theory, we designed reasonable Common-Shot (CS), Common-Receiver (CR), Common-Middle-Point (CMP) Then, using sparse radon transform dynamic waveform matching to estimate events. was applied obtain linear ensure correctness wave direction. residual nonlinear disturbance estimated method. Tests synthetic demonstrated effectiveness method, which effectively SNR attenuate incoherent