A sparse optimization method for suppressing strong shielding interference of seismic data

Abstract

The invention discloses a sparse optimization method of suppressing strong shielding interference of seismic data. The method includes: 01, reading original seismic data, and conducting a component analysis on the data; 02, determining two sparse representation dictionaries employed by a morphological component analysis according to the morphological characteristic difference between a seismic response of a transverse heterogeneous body including a river sand body etc. related to a reservoir and a seismic response of a stable sedimentary formation in a seismic record signal, and forming an ultra-complete dictionary; 03, extracting seismic response signals of the transverse heterogeneous body including the river sand body etc. related to the reservoir from a seismic profile after suppressing overlying or underlying formation strong reflection shielding by employing a block coordinate relaxation algorithm; and 04, repeating step 03 until completion of processing of all two-dimensional measuring line data. According to the sparse optimization method of suppressing the strong shielding interference of the seismic data, the strong shielding interference can be effectively and thoroughly suppressed, and the seismic response signals of the transverse heterogeneous body including the river sand body etc. related to the reservoir can be displayed more clearly and visually.

Description

technical field [0001] The invention belongs to the field of seismic exploration data processing, and particularly relates to a sparse optimization method for suppressing strong shielding interference of seismic data. Background technique [0002] Due to the complex and diverse sedimentary forms of fluvial facies, it is easy to form lithologic oil and gas reservoirs and stratigraphic lithologic and structural lithologic composite oil and gas reservoirs. It is very beneficial to the exploration and development of such oil and gas reservoirs to accurately predict the spatial structure and lateral changes of channel deposits. The collected original seismic data can be processed by migration imaging to obtain 3D seismic data that can more intuitively reflect the underground geological structure. Using 3D seismic data to characterize the spatial distribution of channel sand bodies is an important part of fluvial reservoir interpretation. [0003] In 3D seismic data, the seismic...

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Problems solved by technology

[0008] 1. This method requires secondary quantification of seismic data, which will reduce the resolution of seismic data and destroy some weak contrast reflection waveform structures

[0009] 2. After the waveform signal is counted by the gray-level co-occurrence matrix, several quantitative description attributes for the value and distribution characteristics of the gray-level co-occurrence matrix elements are formed to indirectly describe the reflected waveform. Since this is a secondary mapping process, its physical meaning is not Unclear, requires geological personnel and interpreters to work together to use various attributes for reservoir characterization and interpretation, bringing complexity to interpretation

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