Surface wave separation method and system based on morphological component analysis

Abstract

The invention belongs to the field of seismic wave information processing technologies, and particularly relates to a surface wave separation method and a surface wave separation system based on morphological component analysis. The surface wave separation method based on morphological component analysis comprises the steps of: step a, making a synthetic seismogram, and constructing a surface wave separation model based on planar dictionary morphological component analysis; step b, selecting a planar non-sampling wavelet dictionary for carrying out sparse representation on surface wave signal components, and selecting a planar local discrete cosine dictionary for carrying out sparse representation on reflected wave signal components; step c, and adopting morphological component analysis under a planar dictionary for separating the surface wave signal components and the reflected wave signal components. The surface wave separation method and the surface wave separation system take both surface wave signal characteristics and reflected wave signal characteristics into account, can separate the surface wave signals and the reflected wave signals more effectively, fully utilize correlation between channels, and make the separation effect of surface wave signals better while considering that the surface wave signals are concentrated in a low-frequency high wavenumber domain under the planar non-sampling wavelet dictionary.

Description

technical field [0001] The invention belongs to the technical field of seismic wave information processing, in particular to a surface wave separation method and system based on morphological component analysis. Background technique [0002] Seismic exploration refers to the detection of geological structures and underground mineral resources through artificial seismic methods. At present, this method has become the most widely used method in geophysical prospecting. Usually the seismic data collected in the field contains a lot of noise interference, so it is necessary to process the data collected in the field, and noise suppression has become an indispensable link in seismic data processing. Surface wave is one of the main regular interferences in reflection wave seismic exploration, and it is an interference wave that has a great influence on the signal-to-noise ratio of seismic data. Therefore, the suppression of surface waves is conducive to improving the signal-to-no...

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Problems solved by technology

[0005] The present invention provides a surface wave separation method and system based on morphological component analysis, aiming at solving the problem that the seismic signal representation dictionary used in the existing surface wave separation method based on morphological component analysis is a one-dimensional dictionary, and the seismic data is processed channel by channel. Processing, can not effectively use the correlation between traces in seismic data, and the technical problem of slow processing speed when processing two-dimensional seismic data

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