Method for automatically identifying and removing industrial interface based on dual factors

Abstract

The invention discloses a method for automatically identifying and removing industrial interface based on dual factors. The method comprises the following steps: after seismic data are acquired, carrying out frequency domain filtering on each channel of data, respectively calculating energy A (y(t)) of a filtering result and energy A (x(t)) of original data, and dividing A (x(t)) by A (y(t)); if the ratio is greater than 0.001 and the filtering result passes through a zero point for 90-110 times within 1 s, judging that the channel has 50 Hz industrial interference, otherwise judging that no industrial interference exists; processing the channel with the industrial interference by a sine and cosine weighing approach method to obtain seismic data subjected to interference removal. According to the method, the industrial interference is detected and suppressed within a time domain of original shot data, so that no conversion to a detection point or a frequency domain is needed, and the time and the space are greatly saved; furthermore, only records with the interference are processed, so that the signal-to-noise ratio of the seismic data can be effectively increased, and the method is an efficient fidelity processing technology.

Description

technical field [0001] The invention relates to seismic data processing, which belongs to seismic data denoising processing technology, in particular to a method for automatic identification and removal of industrial interference based on two factors. Background technique [0002] In many exploration areas with a high degree of industrialization, strong power frequency noise often exists in the collected seismic records, which greatly affects the quality of seismic data. This kind of strong power frequency interference has strong regularity, the main frequency is about 50Hz, and it is a typical additive noise. It is often superimposed with effective signals, which greatly affects the quality of seismic data stacking and migration imaging. In seismic data processing, methods such as frequency domain notch method, detection point domain separation method, and cosine approximation are usually used to suppress this interference. The notch processing in the frequency domain is r...

AI Technical Summary

Problems solved by technology

The notch processing in the frequency domain is relatively simple and easy to operate, but it is easy to damage the 50Hz frequency component of the effective signal, and it is also easy to produce boundary effects in the frequency domain

Although the detection point domain separation method can avoid the disadvantages caused by the notch method, it needs to transform the data from the shot domain to the detection point domain, and then transform from the detection point domain to the shot domain after processing, which consumes a lot of time and space. low efficiency

Although the cosine approximation method has a better suppression effect and will not produce boundary effects and waste of time and space, the cosine approximation method requires an accurate frequency of the interference wave. If there is a difference between the frequency of the cosine approximation and the frequency of the interference wave, not only cannot Effectively remove interference, but it will interfere with the original noise to make the noise stronger, and the exact frequency of the interference wave is difficult to determine

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