An Amplitude-Spectrum Ratio Method for Automatically Measuring the Strength of Harmonic Noise in Seismic Data

Abstract

The invention discloses an amplitude spectrum ratio method for automatically measuring the intensity of harmonic noise of seismic data, and the method comprises the following steps: 01, reading single-channel data of an original seismic record signal; 02, carrying out the FFT (fast Fourier transform) of the single-channel data read at step 01, and converting the data to a frequency domain from a time domain; 03, determining a high-low frequency spectrum boundary, calculating the ratio of high-frequency energy to the total band energy, and repeatedly carrying out the steps 01-03 till all data is processed. A time-frequency domain sparse optimization method based on the method provided by the invention can compress harmonic noise more completely. The invention solves a problem of automatically measuring the intensity of harmonic noise of sliding scanned record data of a vibroseis, and achieves a purpose of single-channel precise measurement.

Description

technical field [0001] The invention belongs to the field of seismic exploration data processing, in particular to an automatic discrimination method for the strength of harmonic noise. Background technique [0002] The vibrator is another form of excitation source different from the explosion source, which can not only reduce the cost, but also improve the efficiency. Currently, sliding scanning is an efficient acquisition method for vibrators. Sliding sweep refers to an acquisition method in which the next set of sources does not have to wait for the end of the previous set of sources to vibrate. Sliding scanning acquisition technology can obtain high-density shot points and high coverage seismic data, but the biggest problem with sliding scanning acquisition is harmonic distortion. Harmonic noise pollutes the collected signal, reduces the signal-to-noise ratio of the data, and in serious cases, it will cover up the effective information and affect the analysis and use o...

AI Technical Summary

Problems solved by technology

[0007] 1. The index determined by this method is a subjective estimate, which is not precise enough and lacks in accuracy

[0008] 2. This method determines a comprehensive strength index for multi-channel data, and cannot determine the strength for each channel of data

[0012] 1. This method is determined by the time-domain energy ratio method, which has high requirements on the location of harmonic noise and is not very applicable

[0013] 2. This method has different parameters when determining the boundary between deep and shallow layers for data of different sampling lengths, and the flexibility is poor

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