A processing method for seismic records

Abstract

Provided is a processing method for seismic records The method comprises the following steps: multi-channels of seismic records are selected and each channel of seismic records is converted into a cepstrum domain in order to determine a cepstrum sequence of each channel of earthquake record; an amplitude spectrum of an input wavelet and an input wavelet trend fitting curve are determined through the cepstrum sequence of the input wavelet of seismic records; Fourier inversion is carried out on the amplitude spectrum of the input wavelet to determine the input wavelet; signal-to noise-ratio spectrums of the multi-channels of seismic records are computed and based on the input wavelet trend fitting curve, and with reference to a curved of the signal-to noise-ratio spectrum, an amplitude spectrum of the expected output wavelet is obtained; Fourier inversion is carried out on the amplitude spectrum of the expected output wavelet to determines the expected output wavelet; a deconvolution filter is obtained by means of carrying out matched filtering of the input wavelet and the expected output wavelet; deconvolution is carried out on the seismic records based on a convolution model in order to obtain a reflection coefficient sequence; and convolution is carried out on the deconvolution filter and the reflection coefficient sequence to obtained optimized seimic records.

Description

technical field [0001] The present invention relates to a method for processing seismic records, more specifically, relates to a method for deconvolution processing seismic records in complex spectrum domain under the constraint of signal-to-noise ratio spectrum. Background technique [0002] In recent years, the focus of oil and gas reservoir exploration in China has shifted from structural oil and gas reservoirs to lithologic oil and gas reservoirs. Fine exploration targets have shifted from large structural traps to structural and lithological traps controlled by small structures and small faults, which puts forward higher requirements for the resolution of seismic data. [0003] Conventional deconvolution such as spectral simulation and spectral whitening are often used in actual seismic data processing to improve the resolution of seismic data. These methods are based on the fact that the amplitude spectrum of seismic wavelets can be expressed as the following smooth an...

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Problems solved by technology

However, this method is difficult to eliminate the influence of noise and reflection coefficient sequence on the seismic wavelet phase spectrum

[0006] Since the high-frequency energy of the seismic data itself is weak and is seriously affected by noise, it is easy to reduce the signal-to-noise ratio of the seismic data while improving the resolution of the seismic data simply by relying solely on the high-frequency information of the seismic data, which is not conducive to seismic further interpretation of the data

Therefore, in addition to the resolution itself, seismic data processing personnel are more concerned about whether the seismic data can better maintain the signal-to-noise ratio of the seismic data after the resolution is increased. However, conventional deconvolution methods are often ineffective. Quality Control Improves Signal-to-Noise Ratio of Resolved Seismic Data

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