Reflection full waveform inversion method, device and product based on dynamic graph regularization

By using a dynamic graphical regularization full-waveform reflection inversion method, the problems of reflection wave inversion methods in seismic exploration being limited by ray theory and having a low signal-to-noise ratio are solved, achieving higher resolution and more accurate imaging results.

CN122307658APending Publication Date: 2026-06-30CHINA PETROLEUM & CHEMICAL CORP +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA PETROLEUM & CHEMICAL CORP
Filing Date
2024-12-28
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

In seismic exploration, existing technologies for reflection wave inversion are limited by ray theory and have low signal-to-noise ratios, resulting in reduced imaging accuracy. This is especially true in complex areas and deep geological imaging, where there are problems such as multiple solutions and large computational loads.

Method used

A full waveform inversion method based on dynamic graphical warping is adopted. By acquiring seismic data, wavefield simulation is performed to determine the background wavefield and scattered wavefield. The full waveform inversion of the reflected wave is performed using the dynamic graphical warping algorithm, and the inversion target model is optimized to improve imaging accuracy.

Benefits of technology

It improves the resolution of the inverted target model, reduces the model's multiple solutions and computational load, enhances imaging quality, and enables more accurate imaging of complex geological features.

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Abstract

This disclosure relates to a method, apparatus, and product for full-waveform reflection inversion based on dynamic graphic warping, applicable to the field of seismic exploration technology. In this disclosure, seismic data of the target area is acquired; wavefield simulation is performed based on the seismic data to determine the background wavefield and scattered wavefield. Based on dynamic graphic warping, full-waveform reflection inversion is performed on the background wavefield and scattered wavefield to determine the inversion target model. The inversion target model is optimized to determine the target image of the target area. Determining the inversion target model through the dynamic graphic warping algorithm can improve the resolution of the inversion target model and reduce the model's ambiguity and computational load. Furthermore, iterative optimization of the inversion target model can improve imaging quality. Simultaneously, using the dynamic graphic warping algorithm can reduce the accuracy requirements of high wavenumber models, enabling more accurate imaging of complex geological features. Therefore, the accuracy of imaging is improved.
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