Model-Based Surface Wave Analysis and Attenuation
J. Bai and O. Yilmaz
Event name: 80th EAGE Conference and Exhibition 2018
Session: Land Seismic Noise Attenuation
Publication date: 11 June 2018
Info: Extended abstract, PDF ( 979.37Kb )
Price: € 20
Surface waves can significantly degrade overall data quality in seismic surveys. In this paper we present a method, which includes inversion and adaptive subtraction filtering of surface waves via a multi-scale technique, in order to attenuate or remove surface waves. The method utilizes a 1D viscoelastic layered model to generate synthetic surface waves through propagator matrix method. The inversion procedure estimates an optimal viscoelastic layered model through global and local optimization methods to minimize the misfit of dispersion spectra obtained from seismic and synthetic shot gathers. Since the 1D model obtained from the optimization methods cannot represent any lateral variations of physical parameters in earth, adaptive subtraction and multi-scale technique are applied to mitigate this limitation. The tests of a 3D field dataset indicate that the optimization methods can estimate an optimal model to generate the synthetic data suitable for adaptive subtraction. The tests also show that the method is robust and efficient for surface-wave attenuation.