基于谱反演方法的叠后纵波阻抗反演

doi:10.11720/wtyht.2023.1222

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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.

Key words： spectral inversion impedance inversion odd-even decomposition TV regularization relative impedance

Received: 18 May 2022 Published: 27 April 2023

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	Articles by authors
	Wen-Jun XING
	Si-Yuan CAO
	Si-Yuan CHEN
	Yao-Guang SUN

Cite this article:

Wen-Jun XING,Si-Yuan CAO,Si-Yuan CHEN, et al. Post-stack P-wave impedance inversion based on spectral inversion[J]. Geophysical and Geochemical Exploration, 2023, 47(2): 429-437.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2023.1222 OR https://www.wutanyuhuatan.com/EN/Y2023/V47/I2/429

Synthetic signal in time domain and its amplitude spectrum
a—signal in time domain;b—amplitude spectrum

Regularization parameter tests
a—regularization parameter:5e^-5;b—regularization parameter:1e^-4;c—regularization parameter:5e^-4;d—regularization parameter:1e^-3;e—regularization parameter:5e^-3

Upper limit frequency tests
a—upper limit frequency:120 Hz;b—upper limit frequency:135 Hz;c—upper limit frequency:150 Hz;d—upper limit frequency:165 Hz;e—upper limit frequency:180 Hz

Pre-whiten factor parameter tests
a—pre-whiten factor:0.005;b—pre-whiten factor:0.01;c—pre-whiten factor:0.02;d—pre-whiten factor:0.04;e—pre-whiten factor:0.08

Partial Marmousi2 model and corresponding synthetic record
a—partial Marmousi2 model;b—synthetic record

Low-frequency model and acoustic impedance inversion results
a—low-frequency model;b—the proposed method;c—recursive inversion of sparse spike deconvolution

Field data and low-frequency model
a—field data;b—low-frequency model

Wavelet

Acoustic impedance inversion results before fx-Decon
a—the proposed method;b—recursive inversion of sparse spike deconvolution

Acoustic impedance inversion results after fx-Decon
a—the proposed method;b—recursive inversion of sparse spike deconvolution

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