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- W2619247672 abstract "Summary We propose a new inversion approach to estimate Q factor values, based on back propagating the seismic data to its source location. If the correct velocity and Q-factor models are used, the back-propagated frequency spectrum will be consistent in all receivers recording the same source. The Therefore, we formulate a corresponding objective function inversion problem that is solved in a global optimization scheme. This workflow doesn’t require any knowledge of the source wavelet or an initial Q-factor model. In addition, it is less sensitive to noise as it takes multiple channels into account in a large frequency band. While this approach is conceptually true for any back-propagation method, we construct and show its application using the linearized ray-based approximation. Through synthetic and field data examples, we demonstrate the application and the usefulness of the suggested workflow." @default.
- W2619247672 created "2017-06-05" @default.
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- W2619247672 date "2017-06-12" @default.
- W2619247672 modified "2023-09-23" @default.
- W2619247672 title "Q-factor Estimation Using Reconstructed Source Consistency Inversion" @default.
- W2619247672 doi "https://doi.org/10.3997/2214-4609.201701155" @default.
- W2619247672 hasPublicationYear "2017" @default.
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