Abstract
Seismic Full-Waveform Inversion is an imaging technique to better understand the earth's subsurface. Therefore, the reflection intensity of sound waves is measured in a field experiment and is matched with the results from a computer simulation in a least-squares sense. From a computational point-of-view, but also from an economic view point, the efficient numerical solution of the elastic wave equation on current hardware is the main bottleneck of the computations, especially when a large three-dimensional computational domain is considered. In our research, we focused on an alternative problem formulation in frequency-domain. The mathematical challenge then becomes to efficiently solve the time-harmonic elastic wave equation at multiple frequencies. The resulting sequence of shifted linear systems is solved with a new framework of Krylov subspace methods derived for this specific problem formulation. Our numerical analysis gives insight in the theoretical convergence behavior of the new algorithm.
Original language | English |
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Qualification | Doctor of Philosophy |
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Award date | 10 Jan 2018 |
Print ISBNs | 978-94-6295-827-2 |
DOIs | |
Publication status | Published - 2018 |
Keywords
- Krylov subspace methods
- Preconditioning
- Shifted linear systems
- Time-harmonic elastic wave equation
- MSSS matrix computations
- Spectral analysis