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- W2023681643 abstract "In multiscale full-waveform inversion strategies, a finite set of discrete frequencies are selected and the inversion is carried out sequentially from low to high frequency data components. First, the long wavelength components of the model parameters are recovered from low frequency data, and then more details and features are extracted as the inversion proceeds with higher frequencies. In this paper, we investigate different frequency selection strategies on the solution of a matrix-free Gauss-Newton full waveform algorithm that uses simultaneous sources. We examine five strategies for frequency selection and test the performance of the algorithm with the BP/EAGE data set. Numerical results on the BP/EAGE model show that high fidelity results can be attained by inverting partially overlapped groups of temporal discrete frequencies." @default.
- W2023681643 created "2016-06-24" @default.
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- W2023681643 date "2012-06-04" @default.
- W2023681643 modified "2023-09-23" @default.
- W2023681643 title "Full Waveform Inversion Using Blended Acquisition Geometry with Different Frequency Strategies" @default.
- W2023681643 doi "https://doi.org/10.3997/2214-4609.20148330" @default.
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