Matching pursuit seismic spectrum decomposition method and device

Abstract

The embodiment of the invention provides a matching pursuit seismic spectrum decomposition method and device. The method comprises the steps that (1) a seismic signal is acquired and the seismic signal acts as a current signal; (2) the center frequency of atoms to be searched is determined according to the current signal; (3) the atoms meeting the first preset conditions in a preset over-complete dictionary are searched by using a matching pursuit algorithm, the atoms most relevant to the current signal are selected out of the atoms, the corresponding projection components of the current signal at the most relevant atoms are acquired, and the signal residual error of the current signal and the corresponding projection components is acquired; (4) the signal residual error acts as a new current signal, and the steps (2) to (4) are repeated until the currently obtained signal residual error is less than a preset threshold; (5) and the seismic spectrum decomposition result of the seismic data is obtained according to all the corresponding projection components. The computing efficiency, the decomposition accuracy and the adaptability of the matching pursuit algorithm for seismic spectrum decomposition can be enhanced.

Description

technical field [0001] The present application relates to the technical field of seismic data processing, in particular to a matching tracking seismic spectrum decomposition method and device. Background technique [0002] With the continuous deepening of oil and gas exploration and development, the identification and interpretation of small faults, thin reservoirs and lithological closed circles have become the focus of fine interpretation of seismic data. Seismic spectral decomposition technology can not only improve the interpretation and prediction ability of seismic data for thin reservoirs, but also obtain richer geological information from seismic data. Once introduced, it has attracted widespread attention in the industry and has developed rapidly. It has been widely used in stratigraphic or sedimentary facies interpretation, oil and gas detection, etc. The basic principle is to select a set of basis functions that are limited in both the time domain and the frequen...

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Problems solved by technology

However, since the matching pursuit method is a greedy algorithm, and the over-complete library is generally very large, it is computationally expensive and unrealistic to find the true best match.

At present, in most cases, when selecting the current atom with the greatest correlation in the complete library, the method of traversing all the atoms and selecting the atom with the largest inner product is adopted. The disadvantage is that it cannot adapt to seismic signals with different characteristics, and the calculation efficiency and decomposition accuracy not tall

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