Method for automatically dividing stratum gyration by earthquake information

Abstract

The invention provides a method for automatically dividing stratum gyration by earthquake information, which comprises the following steps of: firstly, carrying out the time frequency analysis on earthquake data on the basis of a high-order statistic theory to obtain the high-resolution time frequency analysis result of an earthquake channel; then, extracting a time frequency curve and an extremepoint thereof from a two-dimensional time frequency analysis result by a mathematic means; drawing a regular triangle for representing positive gyration or an inverted triangle for representing negative gyration on two-two extreme points; and finally, completing the automatic division of the stratum gyration by a computer. In the method for automatically dividing the stratum gyration by the earthquake information, which is provided by the invention, the automatic division of gyration can be carried out on different earthquake data; the efficiency and the objectivity of gyration division are improved; and the required gyration information can be rapidly provided for isochronal sedimentation interface identification and explanation.

Description

technical field [0001] The invention relates to a method for dividing stratum cycles, in particular to a method for automatically dividing stratum cycles by using seismic information. Background technique [0002] The division of stratigraphic cycles is an important method in the identification of isochronous sedimentary interfaces. For a long time, cycles have been drawn on the time-frequency profile manually. Different interpreters often have different cycle division results. Therefore, there are The shortcomings of low efficiency and unobjective results of cycle division have affected the wide application of cycle division methods. [0003] Time-frequency analysis is a key technology for signal analysis and processing in the field of geophysical exploration. At present, the time-frequency analysis methods for seismic signals mainly include short-time Fourier transform, wavelet transform, S transform, triangular filter, and Hilbert-Huang transform. and quadratic time-freq...

AI Technical Summary

Problems solved by technology

The disadvantage of wavelet transform is that the mother wavelet is not easy to determine

S transform is a combination of short-time Fourier transform and wavelet transform, but S transform still has the characteristics of low resolution

SFA time-frequency analysis uses a series of triangular filters with dominant frequencies to achieve time-frequency analysis. Since the time length cannot be adjusted, the analysis results have low resolution and are not intuitive.

The Hilbert-Huang transform is greatly affected by noise, and it is not ideal for the analysis of non-stationary seismic signals

The time-frequency resolution of the quadratic time-frequency distribution is very high, but there are very serious cross terms in the time-frequency plane, which seriously affects the results of time-frequency analysis

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