Anisotropic model building with structurally constrained tomography inversion: A case study from the Angola Basin

Eshete, Tefera; He, Yunhui; Sun, Xinyi

doi:10.1190/segam2013-1373.1

SEG Technical Program Expanded Abstracts 2013 2013

DOI: 10.1190/segam2013-1373.1

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Anisotropic model building with structurally constrained tomography inversion: A case study from the Angola Basin

Tefera Eshete¹,

Yunhui He²,

Xinyi Sun³

Abstract: The Angola basin is characterized by steeply dipping sediments with rapid changes in dip direction particularly in mini-basins between salt bodies. This creates difficulties in anisotropic model building using grid-based tomography. Hence, we incorporated geologic dip information available from Kirchhoff Pre-stack Depth Migration (PSDM) stacks into the tomographic inversion to obtain better model updates which follow the geologic structure. This improves focusing, amplitude and continuity of reflectors after m… Show more

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Prestack structurally constrained impedance inversion

2018

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Classical prestack impedance inversion methods are based on performing a common-depth point (CDP) by CDP inversion using Tikhonov-type regularization. We refer to it as lateral unconstrained inversion (1D-LUI). Prestack seismic data usually have a low signal-to-noise ratio, and the 1D-LUI approach is sensitive to noise. The inversion results can be noisy and lead to an unfocused transition between vertical formation boundaries. The lateral constrained inversion (1D-LCI) can suppress the noise and provide sharp boundaries between inverted 1D models in regions where the layer dips are less than 20°. However, in complex geology, the disadvantage of using the 1D-LC approach is the lateral smearing of the steeply dipping layers. We have developed a structurally constrained inversion (1D-SCI) approach to mitigate the smearing associated with 1D-LCI. SCI involves simultaneous inversion of all seismic CDPs using a regularization operator that forces the solution to honor the local structure. The results of the 1D-SCI were superior compared with the 1D-LUI and 1D-LCI approaches. The steeply dipping layers are clearly visible on the SCI inverted results.

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Prestack structurally constrained impedance inversion

2018

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Prestack seismic inversion with structural constraints

et al. 2021

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Pre-stack seismic inversion usually suffers from the lower signal-to-noise ratio, which could result in unstable inversion results. The conventional multi-trace lateral constrained inversion blurs the steeply dipping layers, whereas the simple structural constrained inversion is affected by noise. To solve this issue, an inversion method with multiple constraints is proposed, which include 1) A local smoothing operator is used to suppress the inversion anomalies caused by data noise, 2) a difference operator is used to protect the stratum boundary, 3) a structural dipping constraint is used to enhance the characterization of the possible dipping stratum. The multi-constraint inversion method suppresses the inversion anomalies caused by data noise without blurring the stratum boundary. The effects of different constraints in the inversion process and the influence of noise on the inversion results are analyzed. In multi-constraint inversion, the regularization coefficient of each constraint operator is dynamically changed, thereby controlling the significance of each regularization term in the inversion. The proposed algorithm is tested on synthetic and field data, which demonstrates its effectiveness and improved accuracy on the inversion results.

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Anisotropic model building with structurally constrained tomography inversion: A case study from the Angola Basin

Cited by 2 publications

References 2 publications

Prestack structurally constrained impedance inversion

Prestack structurally constrained impedance inversion

Prestack seismic inversion with structural constraints

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