Post-stack P-wave impedance inversion based on spectral inversion

XING Wen-Jun; CAO Si-Yuan; CHEN Si-Yuan; SUN Yao-Guang

doi:10.11720/wtyht.2023.1222

2023 Vol. 47, No. 2

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Article navigation > Geophysical and Geochemical Exploration > 2023 > 47(2): 429-437

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XING Wen-Jun, CAO Si-Yuan, CHEN Si-Yuan, SUN Yao-Guang. 2023. Post-stack P-wave impedance inversion based on spectral inversion. Geophysical and Geochemical Exploration, 47(2): 429-437. doi: 10.11720/wtyht.2023.1222

Citation:

XING Wen-Jun, CAO Si-Yuan, CHEN Si-Yuan, SUN Yao-Guang. 2023. Post-stack P-wave impedance inversion based on spectral inversion. Geophysical and Geochemical Exploration, 47(2): 429-437. doi: 10.11720/wtyht.2023.1222

Post-stack P-wave impedance inversion based on spectral inversion

College of Geosciences,China University of Petroleum,Beijing 102249,China

Received Date: 18 May 2022

Revised Date: 20 April 2023

Publish Date: 27 April 2023

Abstract

Abstract

Based on spectral inversion,this study proposed a p-wave impedance inversion algorithm for post-stack seismic data to improve inversion accuracy.Spectral inversion is widely used in high-resolution seismic inversion and the reflection coefficient inversion.Based on the odd-even decomposition of reflection coefficients,spectral inversion can reduce the tuning effect between thin layers and enhance the resolution of inverted data volumes.However,the calculation of p-wave impedance using reflection coefficients is ill-posed, and the step-by-step inversion of p-wave impedance tends to introduce a large cumulative error.Therefore,this study proposed a post-stack p-wave impedance inversion method based on spectral inversion.This method introduced the objective equation constrained by TV regularization and calculated the relative p-wave impedance using the iterative method.Then,the absolute p-wave impedance was determined through the frequency-domain fusion of the relative p-wave impedance and the pre-built low-frequency model.As demonstrated by the model and actual data,the method proposed in this study has a higher inversion resolution than the impedance inversion based on sparse-spike deconvolution and is more conducive to subsequent research such as reservoir prediction.
- spectral inversion /
- impedance inversion /
- odd-even decomposition /
- TV regularization /
- relative impedance

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References

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