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Nonlinear Optimal Stacking for Enhancing Pre-Stack Seismic Data
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 80th EAGE Conference and Exhibition 2018, Jun 2018, Volume 2018, p.1 - 5
Abstract
Land seismic data is always challenging in China, especially in foothill environment in Western China. The incoherent noise, extreme near-surface scattering and low signal to noise ratio intensively demand specialized heavy pre-processing for the pre-stacking data. An effective method is the optimal method. In the abstract, we show a new strategy to realize the optimal stacking of prestack seismic data. In the process of optimal stacking, regional division and constructive superposition are the two key factors. We propose that the areal super group should vary with the acquisition geometry based on the beam ray theory. We demonstrate the process for creating shot super groups on the CS domain. Then, we propose that the constructive superposition is divided into two parts, including dominant linear phase change and nonlinear disturbance. The linear parameter is estimated by the multiple cross-correlation with lateral constraints. Second correlation with time constraint and dynamic waveform matching are proposed to estimate the nonlinear disturbance. Finally, we present results on synthetic and real data to illustrate our approach is valid.