Borehole micro-earthquake preliminary wave picking method based on shear let intra-domain kurtosis characteristic

A microseismic and kurtosis technology, which is applied in the fields of seismology, seismology, and seismic signal processing for logging records.

Inactive Publication Date: 2018-05-04
JILIN UNIV
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Problems solved by technology

However, the above-mentioned methods only pick up the first arrival wave in one dimension, regard the signal as an isolated single channel signal, and do not take advantage of the inherent two-dimensional space-time directionality of the microseismic signal

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  • Borehole micro-earthquake preliminary wave picking method based on shear let intra-domain kurtosis characteristic
  • Borehole micro-earthquake preliminary wave picking method based on shear let intra-domain kurtosis characteristic
  • Borehole micro-earthquake preliminary wave picking method based on shear let intra-domain kurtosis characteristic

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Experimental program
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Embodiment

[0070] A section of synthetic microseismic data with -5dB Gaussian white noise is selected for simulation experiments. The signal is as follows: figure 1 Shown:

[0071] Step 1: Perform discrete shear let transformation on the above signal, decompose the above two-dimensional seismic signal into 4 scales, each scale contains 4 directions;

[0072] Step 2: Due to the high frequency of the microseismic signals in the well, after the Shearlet transformation is performed on the microseismic data, the effective signals are mainly concentrated in the high frequency scale. In this embodiment, the third scale and the fourth scale are high frequency scales ,Such as Figure 2-5 Shown are the coefficients for each direction of the fourth scale;

[0073] Calculate the relative energy in each direction of the fourth scale and normalize it, such as Figure 6 As shown, it can be seen that the correlation energy of the first two directions is significantly higher than that of the other two...

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Abstract

The invention discloses a borehole micro-earthquake preliminary wave picking method based on a shear let intra-domain kurtosis characteristic. The method includes the steps of firstly, obtaining a group of two-dimensional earthquake signals to conduct discrete shear let conversion, and decomposing the two-dimensional earthquake signals into m dimensions, wherein each dimension comprises n directions; secondly, calculating related energy in all directions of adjacent high-frequency dimensions, wherein n/2 directions with high related energy are obtained in each high-frequency dimension, and direction coefficients corresponding to the n/2 directions are superimposed to serve as a corresponding dimension coefficient of each high-frequency dimension; thirdly, calculating the kurtosis K of thecorresponding dimension coefficient of each high-frequency dimension, obtaining the differential value maximum point of the kurtosis, and using the point with a front position as the preliminary pointof micro-earthquake preliminary waves. The related energy of all the direction coefficients on the adjacent dimensions can be calculated according to the coherent two-dimensional time-space directionality of the micro-earthquake signals, the effective signal concentration direction is determined, and the micro-earthquake preliminary waves are more accurately picked.

Description

technical field [0001] The present invention relates to the technical field of seismic data processing, and more specifically, the present invention relates to a micro-seismic first arrival wave picking method in a well based on kurtosis characteristics in a shear let domain. Background technique [0002] In recent years, with the continuous reduction of easily exploitable resources, the exploration and development of unconventional oil and gas reservoirs has become a new focus in the field of global oil and gas resources. The continuous development and application of microseismic monitoring technology has accelerated the exploitation of unconventional oil and gas reservoirs. In microseismic data processing, accurate and rapid identification and picking of microseismic first arrivals are the prerequisites for microseismic source location, fracture prediction, and source rupture mechanism analysis. [0003] According to different monitoring layout methods, microseismic monit...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/50
CPCG01V1/50G01V2210/6169
Inventor 李娟计硕李月钱志鸿杜海龙叶心吕伟力
Owner JILIN UNIV
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