Seismic shear wave inversion model construction method, porosity prediction method and device

By constructing a seismic shear shear wave inversion model and a porosity prediction method, the ill-posedness of multi-parameter seismic P-wave inversion was solved, enabling efficient and reliable prediction of oil and gas reservoir porosity, reducing ambiguity, and improving the accuracy of reservoir evaluation.

CN114924314BActive Publication Date: 2026-06-05CHINA UNIV OF PETROLEUM (BEIJING)
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Patent Information

Application Number
CN202210726867.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-06-24
Publication Date
2026-06-05
Estimated Expiration
2042-06-24

AI Technical Summary

Technical Problem

In existing technologies, the multi-parameter inversion of seismic P-waves is highly ill-posed, leading to uncertainties and multiple solutions in oil and gas reservoir prediction and fluid identification. P-wave and converted S-wave data suffer from uncertainties and low data quality in the identification of complex oil and gas reservoirs.

Method used

A seismic shear shear wave inversion model construction method is adopted. An initial model is constructed using well logging data and seismic data. The model parameters are iteratively updated using the approximate equation of shear wave reflection coefficient and objective function. By combining shear modulus and shear wave velocity, a seismic shear shear wave inversion model is constructed, and porosity is predicted by the linear relationship between shear modulus and porosity.

Benefits of technology

It improves the accuracy and reliability of oil and gas reservoir porosity prediction, reduces ambiguity, provides more reliable shear modulus inversion results, and guides quantitative reservoir evaluation.

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Abstract

The present application relates to the field of oil and gas field development, in particular to a method and device for constructing a seismic shear transverse wave inversion model and predicting porosity. The method comprises the following steps: constructing a seismic shear transverse wave inversion initial model according to well logging data and seismic data; determining a synthetic seismic record according to the seismic shear transverse wave inversion initial model and a transverse wave reflection coefficient approximation equation; determining an objective function of the seismic shear transverse wave inversion initial model according to the seismic data, the synthetic seismic record and the seismic shear transverse wave inversion initial model; iteratively updating parameters in the seismic shear transverse wave inversion initial model by using the objective function; and determining a final obtained model as a seismic shear transverse wave inversion model. The present application uses a seismic shear transverse wave prestack simultaneous inversion method to obtain reliable shear modulus inversion results; a linear relationship between shear modulus and porosity is obtained by linear regression analysis of well logging data, and the shear modulus inversion results are used to predict the porosity of underground media, thereby providing guidance for subsequent reservoir quantitative evaluation.
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