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Multitrace Impedance Inversion Based on Structure-Oriented Regularization
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DOI：10.1109/LGRS.2021.3083489.png)
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摘要
En 中文
As an effective approach of reservoir prediction, poststack impedance inversion has been widely used in industry. However, like other inverse problems, poststack impedance inversion is a quintessential ill-conditioned problem. Conventional impedance inversion methods often use regularization techniques such as Tikhonov-type regularization to improve the stability of the inversion solution. Nevertheless, because this type of regularization method constrains the inversion process by applying isotropic smoothness to the impedance, it will result in blurred boundaries and micro-geological structures, thereby reducing the resolution of the inversion result. In order to address this problem, we have introduced a structure-oriented regularization (SOR) method based on the local geological structural direction for impedance inversion. Compared with conventional isotropic smooth constraints, SOR can apply smoothness along the direction of geological structures, so it can effectively protect significant geological information from being blurred. Three steps are required to complete the SOR-based seismic impedance inversion method. To begin with, the structural orientations are estimated from seismic image. Then, the SOR term is constructed and combined with the multitrace seismic data misfit term to formulate the objective function for the inversion of impedance. Finally, the objective function can be easily solved by the conjugate gradient (CG) method. We compare our method with the classic model-based impedance inversion method on synthetic and real seismic data. The inversion results demonstrate the benefit of our method in seismic impedance inversion.
Keyword:
Impedance
Tensors
Linear programming
Data models
Computational modeling
Eigenvalues and eigenfunctions
Stability analysis
Image processing
inverse theory
seismic data
seismic inversion
structure-oriented regularization (SOR)
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16.4
论文数:
1.0W
被引数:
5.1K
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Directional structure-tensor-based coherence to detect seismic faults and channels.png)
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GEOPHYSICSIF3.2
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