A Spectrum Extension Method Preserving Low Frequency Information

Abstract

The invention provides a spectral extension method keeping the low frequency information. The method comprises steps that concepts of data stratification, frequency partition and wavelet time-varying extension are employed; a stratification data amplitude spectrum is solved, a partition frequency amplitude envelope fitting value is further solved, an input wavelet compensation factor is further solved, and input wavelet after energy compensation is transformed to be time domain wavelet; moreover, the earthquake record data is synthesized through interpretation, output wavelet of middle and high frequency spectrum extension is solved and is transformed to the time domain, the input wavelet is lastly utilized to carry out deconvolution to acquire a profile with improved resolution, excessive attenuation processing for each layer of amplitude spectrum is carried out to acquire high resolution data with the low frequency information, and the high-quality data with the abundant low frequency information is provided for subsequent lithological interpretation.

Description

technical field [0001] The invention relates to the field of petroleum exploration seismic data processing, and more specifically relates to a spectrum extension method for keeping low-frequency information. Background technique [0002] High-resolution processing technology has always been the key technology in the exploration of lithologic oil and gas reservoirs. As many geophysicists have gradually paid attention to the close relationship between low-frequency seismic anomalies and oil and gas reservoirs, because in mountainous seismic exploration data, changes in the low-frequency part of reflection waves Geophysicists at home and abroad are paying more and more attention to the potential significance and technical application value of maintaining low-frequency information, so how to preserve richer low-frequency information in high-resolution processing It is the difficult problem that high-resolution processing technology faces at present. [0003] Conventional high-r...

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Problems solved by technology

[0003] Conventional high-resolution processing techniques are mostly based on deconvolution operators for seismic data, and the redistribution of section energy through operators often involves the loss of part of the low-frequency information in exchange for the expansion of high-frequency information, which cannot achieve both. This will bring some difficulties to subsequent lithological inversion interpretation

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