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Drilling strain data anomaly extraction method based on principal component analysis

A principal component analysis and data anomaly technology, applied in seismology, instruments, measuring devices, etc., can solve the problems of abnormal extraction of borehole strain data

Active Publication Date: 2017-07-04
JILIN UNIV
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Problems solved by technology

However, so far, there has been no report on abnormal extraction of borehole strain data using principal component analysis.

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  • Drilling strain data anomaly extraction method based on principal component analysis
  • Drilling strain data anomaly extraction method based on principal component analysis
  • Drilling strain data anomaly extraction method based on principal component analysis

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Embodiment Construction

[0048] The present invention will be described in detail below in conjunction with implementation examples.

[0049] For the Lushan earthquake, the minute data of borehole strain at Guzan earthquake precursor monitoring station in Sichuan area is taken as an example. The location of Guzan Station and the Lushan Earthquake is as follows: image 3 shown. The data were measured from January 1, 2012 to December 31, 2013 using the YRY four-component borehole strain gauge.

[0050] a. Enter the time series of minute values ​​of borehole strain at Guzan station from January 1, 2012 to December 31, 2013, and record the data as S in the order of north-south components, east-west components, north-east components, and north-west components 1 , S 2 , S 3 , S 4 ; According to the relationship between the radial deformation of the circular hole and the regional stress derived from the elastic theory model of the plate with holes, the self-consistent analysis of the borehole strain data ...

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Abstract

The present invention relates to a drilling strain data anomaly extraction method based on principal component analysis. The method comprises: performing strain conversion of drilling strain data sequence of the same station, and performing preprocessing of the converted data; constructing a matrix through adoption of the drilling strain data after preprocessing; performing principal component analysis of the everyday matrix to obtain the feature value and the feature vector of each matrix; and corresponding the obtained feature value and the calculated feature vector angle and an earthquake event to obtain an abnormal detection result. The drilling strain data anomaly extraction method based on principal component analysis effectively employs the method of the principal component analysis to perform analysis of the drilling strain data, and performs extraction of possible earthquake precursor anomaly according to the correlation of each measurement item of drilling strain. The drilling strain data anomaly extraction method based on principal component analysis employs the feature values in the principal component analysis and the feature vector angle to represent the weak change of an earth crust so as to realize the accurate extraction of the drilling strain data anomaly in the condition having strong background interference.

Description

technical field [0001] The invention relates to an abnormal detection method of earthquake precursor observation data, in particular to an abnormal extraction method of borehole strain data based on principal component analysis. Background technique [0002] Earth science is a discipline based on observation and measurement data. The continuous improvement of the observation system is the only way to develop earth science and mitigate disasters. The deformation of the earth's surface, the tectonic movement inside the crust, and various geological disasters are closely related to the crustal stress. The change of the crustal stress state is the most direct cause of fractures, folds and even earthquakes. Borehole strain observation is an important method for discovering and mastering the (long) medium-term-short-term-imminent earthquake strain precursor and the time-space distribution and development law of post-earthquake adjustment through the fine observation of the continu...

Claims

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Application Information

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IPC IPC(8): G01V1/00
CPCG01V1/01
Inventor 朱凯光池成全于紫凝张维辰樊蒙璇李凯艳
Owner JILIN UNIV
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