An automatic tracking method of historical seismogram waveform

Abstract

The invention discloses an automatic tracking method for historical seismogram waveforms, which belongs to the technical field of oil and gas geophysical exploration. Its features include: (1) using the differential geometry curve extraction algorithm to extract the seismic wave curve points and the local directions of the seismic wave curves from the seismogram; (2) connecting the extracted curve points according to the extracted curve local directions into a (3) Finally, according to the characteristics of the seismic wave curve itself, such as the symmetric characteristics of the seismic wave curve at its inflection point and the vibration characteristics of the seismic wave curve doing back and forth motion around the central axis, the seismic wave curve segment is carried out with the idea of ​​​​backtracking. track. The effect and benefit of the present invention are that the precision of automatic tracking of seismic wave waveform is improved, and the seismogram with crossed lines and breakpoints can be processed without manual intervention.

Description

technical field [0001] The invention belongs to the technical field of oil and gas geophysical exploration, and relates to the digitization of historical seismograms, in particular to a method for automatically tracking waveforms in the digitization process. Background technique [0002] In the hundred years before the establishment of the digital seismic observation system, people used analog pens to record seismograms, leaving a lot of valuable and irreproducible seismic data. These historic earthquakes Figure 1 Generally, paper, tape, etc. are used to record, and there is an obvious storage time limit. In order to facilitate the analysis of it with modern seismological methods and to prolong the storage time of these materials, we need to digitize them. [0003] In recent years, more and more scholars and experts have devoted themselves to the digitization of historical seismograms. How to efficiently and automatically track seismic waves has become a key step in the di...

AI Technical Summary

Problems solved by technology

The first type of tracking algorithm belongs to the semi-automatic category. These methods require a large number of human-computer interaction processes, which are cumbersome and time-consuming. For example, the SeisDig system designed by Bromirki et al. in 2003, and the Teseo2 system designed by Pintore et al. in 2005

The second type of tracking methods can realize fully automatic tracking of seismogram waveforms. However, these methods generally rely on the local characteristics of seismogram images. For seismograms with many crossing lines and breakpoints, they cannot give good results. For example, the waveform automatic tracking algorithm based on morphology proposed by Church et al. in 2013, and the waveform automatic tracking algorithm based on point-by-point tracking strategy proposed by Mao et al. in 2014

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