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- W2373452790 abstract "Due to economic and environmental factor,and so on,seismic data are usually sampled sparsely during acquisition,which will bring space alias badly and decrease seismic processing accuracy greatly.We propose an anti-aliasing method for seismic data regularization,which uses weighted norm band limited reconstruction method in Fourier transform domain to reconstruct the low frequency data,and adaptive spectrum weighted norm regularization term is used to constraint the solution of equations.The estimated spectrum periodogram during the previous iteration will be defined as weight during the next data reconstruction.Weight function in frequency domain is used to define weight matrix at each frequency component,and the aboving process can be performed in space or wavenumber domain.The method that weighted norm band limited reconstruction permit us use a priori spectrum shape information,so we regards bandwidth and spectral shape of the seismic data as a priori information,that is,the select weight contain bandwidth and spectrum shape,which has the better low-frequency reconstruction characteristics.In this paper,we use the conjugate gradient method to solve equation.Each frequency component of seismic data is not really isolated,that have certain association.By the reconstructed reliable low frequency data information,using frequency band extension method to reconstruct the high frequency data,the unknown high frequency band information can be constructed by the reconstructed low frequency band information.The automatic gain control of reconstructed low frequency data information is used as modulation signal during spectrum extension,then,we multiply low frequency data and modulation signal point by point,and whole frequency-band data generate over low and high frequency-band.We can obtain reconstructed high frequency information by high pass filter.The method can complete the seismic data regularization,at the same time,which can effectively remove spatial aliasing interference.Theoretical model and field data all show that the proposed anti-aliasing seismic data regularization method is effective and feasible." @default.
- W2373452790 created "2016-06-24" @default.
- W2373452790 creator A5016395986 @default.
- W2373452790 date "2013-01-01" @default.
- W2373452790 modified "2023-09-25" @default.
- W2373452790 title "Investigation on anti-aliasing regularization approach for seismic data" @default.
- W2373452790 hasPublicationYear "2013" @default.
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