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Lateral Constrained Prestack Seismic Inversion Based on Difference Angle Gathers

delete2021-12-01
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OA
AI
P
Pu Wang
X
Xiaohong Chen *
J
Jingye Li
王
王本锋 (Benfeng Wang)
DOI:10.1109/LGRS.2020.3014815delete
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摘要

摘要

En 中文
Prestack amplitude variation with offset (AVO) inversion can provide abundant reservoir information underground, which is always implemented trace-by-trace. However, it cannot guarantee the lateral accuracy of the inversion results. To utilize the lateral difference of the angle gathers and improve the lateral resolution, the difference angle gathers are introduced. Based on the Bayes inversion framework, the objective function considering the difference angle gathers is first constructed. Then, the effect of difference angle gathers on inversion results is analyzed, which is essential to improve the accuracy of the inversion results. To further figure out the applicable conditions of difference angle gathers, different forward operators are analyzed including a nonlinear operator and a linear operator. The used nonlinear operator is the exact Zoeppritz's equation. The linear operator is a linear perturbation equation based on the elastic inverse-scattering theory. Due to the difference of angle gathers in adjacent traces, the linear forward operator may cause a deviation of the updated parameters. By comparison, the exact Zoeppritz's equation as the nonlinear forward operator has better applicability and precision. Based on the proposed method, the elastic parameters are obtained from seismic data. Numerical examples show that the inverted elastic parameters of the proposed method have a higher horizontal resolution, and the details in the inversion profile can be better highlighted.
Keyword:
Linear programming
Mathematical model
Probability distribution
Reservoirs
Bayes methods
Petroleum
Two dimensional displays
Amplitude variation with offset (AVO) inversion
Bayes inversion framework
difference angle gathers
lateral constraint
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期刊

IEEE Geoscience and Remote Sensing Magazine 封面图
IEEE Geoscience and Remote Sensing Magazine
IF:
16.4
论文数:
1.0W
被引数:
5.1K

机构

T
tongji university
学者数:
7.9W
论文数: 6.0W
被引数: 98
C
china university of petroleum
学者数:
4.1W
论文数: 2.7W
被引数: 30
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