Seismic data noise-reduction method based on multi-resolution singular value decomposition
A singular value decomposition and seismic data technology, applied in the field of oil and gas geophysical exploration, can solve problems such as unclean noise removal, loss of effective signals, and inability to identify signal noise components, etc., to achieve fast calculation speed and avoid interference
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[0020] In order to facilitate the understanding of those skilled in the art, the present invention will be further described below in conjunction with the accompanying drawings, which cannot be used to limit the protection scope of the present invention. It should be noted that, in the case of no conflict, the embodiments in the present application and various manners in the embodiments can be combined with each other. The drawings in the following description are only some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to these drawings without creative work.
[0021] A seismic data denoising method based on multi-resolution singular value decomposition, the method comprising,
[0022] S1 upgrades each seismic data into a two-dimensional Hankel matrix, denoted as H j ;
[0023] S2 performs singular value decomposition on the Hankel matrix, uses the first singular value to reconstruct the matrix into one-dimensiona...
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