Converted wave multiple prediction method and related apparatus

By establishing prediction models for the propagation paths of various types of converted wave multiples, and using Fourier transform and inverse transform to process P-wave and converted wave seismic data, the problem of the inability to effectively predict converted wave multiples in existing technologies has been solved, achieving efficient and accurate multiple prediction and improving the imaging quality of seismic data.

CN116990861BActive Publication Date: 2026-05-08CHINA OILFIELD SERVICES LTD
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Patent Information

Application Number
CN202310812710.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-07-04
Publication Date
2026-05-08
Estimated Expiration
2043-07-04

AI Technical Summary

Technical Problem

Existing multiple prediction methods cannot effectively suppress complex converted wave multiples, affecting the imaging quality of seismic data. Existing multiple prediction methods cannot effectively handle complex multiples with multiple propagation paths, leading to reduced accuracy in seismic data processing.

Method used

By establishing multiple propagation path prediction models for various types of converted wave multiples, and using Fourier transform and inverse transform to process P-wave and converted wave seismic data, the frequency domain data of converted wave multiples is predicted and then converted into time domain data.

Benefits of technology

It enables efficient and accurate prediction of converted waves and multiples with complex propagation paths, thereby improving the imaging quality of seismic data.

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Abstract

The application discloses a converted wave multiple wave prediction method and related devices, and the method comprises the following steps: establishing multiple wave prediction models corresponding to various types of converted wave multiple wave propagation paths according to the various types of converted wave multiple wave propagation paths; transforming P-wave seismic time domain data and converted wave seismic time domain data to obtain P-wave seismic frequency domain data and converted wave seismic frequency domain data; predicting converted wave multiple wave frequency domain data according to the P-wave seismic frequency domain data, the converted wave seismic frequency domain data and the multiple wave prediction models corresponding to the various types of converted wave multiple wave propagation paths; and inversely transforming the converted wave multiple wave frequency domain data to obtain converted wave multiple wave time domain data. According to the P-wave seismic frequency domain data, the converted wave seismic frequency domain data and the multiple wave prediction models corresponding to the various types of converted wave multiple wave propagation paths, the converted wave multiple wave of the complex multiple propagation paths is efficiently and accurately predicted.
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