Three-component microseism data effective event identification method and system

Abstract

The invention discloses a three-component microseism data effective event identification method and a three-component microseism data effective event identification system. The three-component microseism data effective event identification method is characterized in that three-component microseism data can be acquired; the three-component microseism data can be decomposed into data segments, and each of the data segments comprises the corresponding three-component signal data, and then the time-frequency spectrogram of the signal of each component can be calculated; an effective frequency band can be selected from the target frequencies of the three-component signals, and based on the selected effective frequency band, the limited phase correlation coefficients (POC) of the three-component signals can be calculated respectively; the POC coefficients of the three-component coefficients can be analyzed comprehensively, and then whether the acquired three-component microseism data is the effective event can be determined.

Description

technical field [0001] The invention relates to the technical field of microseismic monitoring technology induced by hydraulic fracturing in the field of geophysics, in particular to a method and system for identifying effective events of three-component microseismic data. Background technique [0002] At present, due to the low magnitude energy of microseismic events generated by hydraulic fracturing, and the acquisition environment is affected by noise, the signal-to-noise ratio of microseismic data records is low, making it difficult to pick up effective events. However, microseismic phase identification and picking are important steps for microseismic source location and microseismic focal mechanism inversion analysis. [0003] In general, the time-domain length-to-average ratio method (STA / LTA method) is more commonly used in the industry, or the time series cross-correlation method constructed based on the energy of the arrival signal. [0004] As far as the STA / LTA m...

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Problems solved by technology

[0004] As far as the STA / LTA method is concerned, it is usually applied to natural earthquakes, but due to the low signal-to-noise ratio of microseismic data, the sensitivity of this method will be poor, resulting in picking errors or failure to pick

The cross-correlation method is completely based on the amplitude information of the data, so under the condition of strong background noise, the cross-correlation coefficient will be distorted

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