Method and device for improving signal-to-noise ratio of seismic data

Abstract

An embodiment of the invention discloses a method and device for improving the signal-to-noise ratio of seismic data. The method includes the steps of: extracting first geophone offset vector film channel set data from seismic data; based on inclined superposition transformation, obtaining attribute information of the first geophone offset vector film channel set data; based on the attribute information of the first geophone offset vector film channel set data and a preset weight value, generating second geophone offset vector film channel set data corresponding to the first geophone offset vector film channel set data; and for each piece of the first geophone offset vector film channel set data, using the second geophone offset vector film channel set data corresponding to the first geophone offset vector film channel set data to replace the first geophone offset vector film channel set data. The device and method provided by the embodiment of the invention can effectively improve the signal-to-noise ratio of the seismic data when energy of signals is stronger than that of noise in the seismic data and when energy of signals is weaker than that of noise in the seismic data.

Description

technical field [0001] The present application relates to the technical field of seismic data processing, in particular to a method and device for improving the signal-to-noise ratio of seismic data. Background technique [0002] Generally, the seismic data collected at the exploration site contain not only effective signals but also various noises. For example, burst pulse, leakage induction, 50Hz industrial frequency interference, sound wave, surface wave and other abnormal noise and random noise. The noise in the seismic data will affect the analysis and processing of the seismic data, which will reduce the precision of the obtained seismic section. Therefore, for the acquired seismic data, it is usually necessary to process the seismic data to improve the signal-to-noise ratio (SIGNAL-NOISERATIO, S / N) of the seismic data. [0003] In the prior art, methods such as frequency domain filtering, frequency-wavenumber domain filtering, beamforming filtering, local radial tra...

AI Technical Summary

Problems solved by technology

However, in some cases, the energy of the signal in the seismic data may be weaker than the energy of the noise

In this way, the signal-to-noise ratio of seismic data cannot be effectively improved by suppressing the energy of noise in seismic data

For example, for seismic data with low signal-to-noise ratio, that is, seismic data whose signal energy is much smaller than noise energy, the above-mentioned methods in the prior art cannot effectively improve the signal-to-noise ratio of seismic data

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