A Method Capable of Simultaneous 5D Seismic Data Reconstruction and Noise Suppression
A technology for seismic data and noise suppression, applied in seismology, seismic signal processing, geophysical measurement, etc., can solve the problems of slow convergence speed and long operation time, reduce requirements, improve reconstruction accuracy, and overcome insufficient reconstruction accuracy. Effect
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[0044] The steps to realize this method mainly include the construction of reconstruction equation, convex set projection reconstruction algorithm, noise suppression by weighting factor, threshold parameter formula and so on. Specific steps are as follows:
[0045] Step 1: Construction of reconstruction equations. The seismic data reconstruction problem is described as recovering complete data from a set of incomplete data through the action of linear operators, assuming the following linear forward modeling model:
[0046] the y obs =Md
[0047] here y obs ∈ R n Represents the acquired seismic data; d∈R N , and N≥n, means the data to be reconstructed without aliasing frequency, M∈R n×N Represents a diagonal matrix whose elements 1 and 0 represent known and unknown seismic traces, respectively.
[0048] Assuming that the coefficient x is a sparse representation of d in the Fourier domain F, the above equation is:
[0049] the y obs =Md=MF H x=Ax
[0050] where A=MF ...
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