Reflection structure constrained seismic data low-frequency recovery method and device

Through the method of reflective structural constraints, low-frequency seismic data are recovered, the problem of low-frequency data in the existing technology is solved, and the resolution of seismic data and the accuracy of full waveform velocity inversion are improved.

CN119689556AActive Publication Date: 2025-03-25CHINA NAT PETROLEUM CORP +2
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Patent Information

Application Number
CN202311246292.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-09-25
Publication Date
2025-03-25
Estimated Expiration
2043-09-25

AI Technical Summary

Technical Problem

The existing technology has low reliability in medium and low frequency seismic data, which reduces the accuracy of full waveform velocity inversion and the resolution of seismic data.

Method used

By acquiring the original seismic data, determine the highest frequency to be restored corresponding to the low-frequency seismic data to be restored, use the reflection structure characterization operator and reflection coefficient to construct a regularized constraint term, establish a target functional of the reflection coefficient, reversely solve the reflection coefficient, and perform low-frequency filtering and high-pass filtering, and finally combine to obtain the seismic data after low-frequency recovery.

Benefits of technology

It improves the reliability of low-frequency seismic data, enhances the resolution of seismic data, and improves the accuracy of full waveform velocity inversion.

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Abstract

The invention provides a reflection structure constrained seismic data low-frequency recovery method and device, and belongs to the field of seismic data processing, and the method comprises the steps: determining a to-be-recovered highest frequency corresponding to to-be-recovered low-frequency seismic data according to original seismic data; determining a reflection structure representation operator by using the original seismic data and an inversion algorithm; using the reflection coefficient and the reflection structure representation operator to construct a regularization constraint term, and establishing a target functional of the reflection coefficient; reversely solving the target functional of the reflection coefficient to obtain the reflection coefficient; performing low-frequency filtering on the reflection coefficient to obtain low-frequency seismic data; performing high-pass filtering on the original seismic data to obtain high-frequency seismic data; and combining the low-frequency seismic data and the high-frequency seismic data to obtain seismic data after low-frequency recovery. Through the method provided by the invention, the reliability of low-frequency seismic data can be ensured, the seismic data resolution is enhanced, and the precision of full-waveform velocity inversion is improved.
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