Data construction method based on seismic feature transformation space

Abstract

The present invention provides a data construction method based on a seismic feature transformation space. The method comprises steps of: Step 1: inputting seismic data that needs to be reconstructed;Step 2: analyzing characteristics of the input seismic data, and determining an effective feature transformation space according to the analysis result; Step 3: performing feature sparse expression on the seismic data according to the feature transformation space by using the corresponding feature transformation; Step 4: performing data construction processing method initialization; Step 5: determining the threshold of each iteration; and Step 6: performing data construction algorithm iterative calculation. The data construction method based on the seismic feature transformation space can automatically select a reasonable and effective feature transformation space according to the geophysical information contained in the actual seismic data itself, and has the adaptability; the method canmeet the transformation requirements of different seismic data, and better realize the sparse expression of the earthquake signal in the feature transformation space; and the method is fast in iterative convergence speed, high in computational efficiency, and high in data construction accuracy.

Description

technical field [0001] The invention relates to the field of oil and gas exploration seismic data processing, in particular to a data construction method based on seismic feature transformation space. Background technique [0002] In the process of field acquisition, under the influence of complex geological conditions and construction conditions, the collected seismic data often has missing or bad tracks, which will cause irregularities in the seismic data and cause serious damage to the subsequent processing and interpretation work. influences. Therefore, information recovery and construction of irregular seismic data to obtain complete and accurate seismic data is one of the important links in seismic data processing. Commonly used seismic data recovery and construction methods include three categories: The first category is the seismic data construction method based on the wave equation. This type of method performs data recovery and construction according to the charac...

AI Technical Summary

Problems solved by technology

At present, under the framework of compressed sensing, a variety of seismic data construction methods based on different mathematical transformations have been developed, such as Fourier transform, Radon transform, Curvelet transform, etc. The typical feature of these methods is that they do not make full use of the characteristics of seismic data itself. , so the accuracy and reliability of data construction is not high

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