Noise suppression method and system for microseismic data

Abstract

The embodiment of the application discloses a microseismic data noise suppression method and system. The method comprises: microseismic data are obtained, wherein the microseismic data includes at least one piece of seismic trace data; seismic data at a first time window position in first seismic trace data in the microseismic data are obtained; according to the preset number of fitting orders and a preset universal model, fitting is carried out on seismic data at the first time window position and fitting models corresponding to the fitting orders at the first time window position are determined respectively; according to the multiple fitting models at the first time window position and the seismic data at the first time window position, a target fitting model is determined among the multiple fitting models; on the basis of the target fitting model, noise data of a target sample point at the first time window position are determined, wherein the target sample point is a time sample point at the middle position in the first time window; and with the noise data, noise suppression is carried out on the seismic data corresponding to the target sample point. Therefore, direct-current noise data in the microseismic data can be suppressed effectively.

Description

technical field [0001] The present application relates to the technical field of geophysical exploration vertical seismic data processing, in particular to a method and system for suppressing microseismic data noise. Background technique [0002] In the process of seismic exploration, the acquired seismic data is often disturbed by DC noise. When the acquisition time of seismic data is short, the DC noise can usually be regarded as a fixed-value zero-value drift phenomenon. Using existing methods and Software is relatively easy to remove this DC noise. [0003] With the rapid development of emerging seismic data acquisition technologies, some seismic data acquisition technologies, such as microseismic data acquisition technologies such as seismic records while drilling, fracturing monitoring records, and natural gas seismic monitoring records, require long-term or continuous recording. Since the instruments for recording the above-mentioned microseismic data work for a long...

AI Technical Summary

Problems solved by technology

[0005] The inventors have found that there are at least the following problems in the prior art: the moving average suppression method in the prior art is equivalent to zero-order polynomial fitting (ie, constant fitting), and because the fitting order is fixed, the moving average suppression method cannot reflect a certain period. The change law of the DC noise data at the time sample point within the time period cannot accurately fit the DC noise data

Therefore, the moving average suppression method cannot effectively suppress the DC noise data in the microseismic data

Images