A method and device for suppressing harmonic interference of microseismic monitoring data

Abstract

The invention relates to a method and device for suppressing harmonic interference of microseismic monitoring data. The method includes: collecting microseismic data, sorting the seismic data recorded at each geophone point together as a common geophone gather; Perform FFT transformation on each track in the gather to obtain frequency-domain seismic data; use the frequency-domain seismic data to obtain the amplitude spectrum; perform multi-channel median filtering on each frequency sample of the amplitude spectrum to obtain the first median-filtered The amplitude spectrum of the amplitude spectrum; the multi-point median filtering is performed on each track of the amplitude spectrum after the first median filtering to obtain the amplitude spectrum after the second median filtering; the amplitude spectrum after the first median filtering is used and the amplitude spectrum after the second median filtering to obtain a filter factor; use the filter factor to filter the frequency-domain seismic data, and perform inverse FFT transformation on the filtered result to obtain the time domain after harmonic interference suppression Microseismic data.

Description

technical field [0001] The invention relates to the technical field of seismic exploration data processing, in particular to a method and device for suppressing harmonic interference of microseismic monitoring data. Background technique [0002] In unconventional oil and gas hydraulic fracturing projects or geothermal utilization projects, acoustic emission events generated during rock fractures can be obtained through microseismic monitoring, and the location of these events can reveal information such as the spatial distribution of underground rock fractures, which can be used for hydraulic fracturing, etc. It provides the most direct help for engineering parameter optimization and effect evaluation. [0003] At present, there are many microseismic monitoring methods, whether it is in-well monitoring or ground array monitoring, the data obtained generally have a low signal-to-noise ratio. Effective microseismic signals generally have weak energy and short duration, while v...

AI Technical Summary

Problems solved by technology

At present, there is no highly targeted denoising method for microseismic records. Most of them follow the filtering method in seismic exploration. While filtering and suppressing noise, it also has an obvious suppression effect on microseismic signals, thereby reducing the accuracy of microseismic positioning.

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