Interlayer seismic wave dispersion attribute calculation method based on frequency-dependent elastic impedance inversion

CN117270052BActive Publication Date: 2026-08-28JILIN UNIVERSITY
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202311252083.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-09-26
Publication Date
2026-08-28
Estimated Expiration
2043-09-26

AI Technical Summary

Technical Problem

[0005]本发明的目的就在于提供一种基于频变弹性阻抗反演的层间地震波频散属性计算方法,以解决估算层间频散属性,以提高储层流体识别的准确性与可靠性的问题

Benefits of technology

[0046]本发明基于频变弹性阻抗反演的层间地震波频散属性计算方法,将弹性阻抗方程扩展到频率域,建立频变弹性阻抗反演方法,估算频变体积模量和剪切模量;根据频变弹性阻抗反演结果计算与体积模量和剪切模量相关的层间地震波频散属性,用于高精度非常规致密储层流体识别。

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN117270052B_ABST
    Figure CN117270052B_ABST
Patent Text Reader

Abstract

The present application relates to a kind of interlayer seismic wave dispersion attribute calculation method based on frequency variable elastic impedance inversion, including the partial stack of prestack angle gather, obtains partial stack angle gather;By deconvolution and spectral decomposition to partial stack angle gather, get wavelet balanced frequency division seismic data;90° phase conversion is applied to wavelet balanced frequency division seismic data, and its result is used as the relative elastic impedance under different frequency;Relative frequency variable elastic impedance is corrected using the elastic impedance obtained by elastic inversion, and approximate frequency variable elastic impedance is obtained;Elastic impedance equation is extended to frequency domain, and frequency variable elastic impedance inversion is established, with approximate frequency variable elastic impedance as the input of inversion, to estimate frequency variable bulk modulus and shear modulus;According to the inversion result, the interlayer seismic wave dispersion attribute related to bulk modulus and shear modulus is calculated, for high-precision unconventional dense reservoir fluid identification, the present application improves the accuracy and reliability of reservoir fluid identification.
Need to check novelty before this filing date? Find Prior Art