SVD analysis in application to full waveform inversion of multicomponent seismic data

Silvestrov, Ilya; Tcheverda, Vladimir

doi:10.1088/1742-6596/290/1/012014

Cited by 4 publications

(2 citation statements)

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“…() applied this tool to examine the type of information in the model space that can be retrieved from sea‐bottom multicomponent measurements. Silvestrov and Tcheverda () used SVD to compare different parametrizations in elastic inversion of surface and cross‐well data.…”

Section: Introductionmentioning

confidence: 99%

“…Lebrun et al (2001) applied this tool to examine the type of information in the model space that can be retrieved from sea-bottom multicomponent measurements. Silvestrov and Tcheverda (2011) used SVD to compare different parametrizations in elastic inversion of surface and cross-well data. Cheverda et al (1998) showed that SVD for surface reflection data is strongly related to trend/reflectivity decomposition of the model.…”

Section: Introductionmentioning

confidence: 99%

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Full‐waveform inversion for macro velocity model reconstruction in look‐ahead offset vertical seismic profile: numerical singular value decomposition‐based analysis

Silvestrov

Neklyudov

Kostov

et al. 2013

Geophysical Prospecting

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Full‐waveform inversion is currently considered as a potential tool for improving depth‐velocity models for areas with complex geology. It is well‐known that success of the inversion is very sensitive to the available low‐frequency content of the data. In the paper we investigate this issue considering a look‐ahead offset vertical seismic profile survey and applying singular value decomposition analysis of a linearized forward map as the main tool. We demonstrate with this technique the difference between the sequential full‐waveform inversion strategy and the original time‐domain approach proposed in the early 1980s. We emphasize the role of the lowest frequency in the data, which is necessary for reliable velocity model inversion in particular cases. Finally we show the existence of a trade‐off between the lowest frequency and a regularization parameter of the inversion procedure. The presented approach may be adapted to answer general questions regarding the quality of data and acquisition system parameters required for feasible full‐waveform inversion.

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Section: Introductionmentioning

confidence: 99%