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Thursday, March 5 • 15:15 - 17:15
Poster: 'Depth-oriented Extended Full Waveform Inversion with an Unknown Source Function,' Lei Fu, Rice University

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This study applies variable projection method to estimate the time function of seismic source in extended full waveform inversion (EFWI), which makes it feasible to reconstruct the subsurface structure robustly and accurately. In practice, without extremely low-frequency data or a good initial model of the earth that contains the long-scale structure information, seismic full waveform waveform inversion is very likely to be trapped in many stationary points apart from its global minimum and fail to recover the subsurface structure correctly. EFWI overcomes this obstacle by adding an additional dimension of freedom. Introduced by Symes, the extended modeling concept combines the global convergence of migration velocity analysis with the physical fidelity of waveform inversion. On the other hand, the recorded seismic data is influenced by both sources and the physical properties of the subsurface. As a consequence, in order to reconstruct the earth properties correctly, the seismic source either needs to be known, or it must be estimated along with the earth properties. Although source inversion is an indispensable component of seismic inversion, it is still unexplored in extended full waveform inversion. The proposed new method is expected not only to correctly reconstruct the physical properties of the subsurface with conventional seismic primary reflection data, but also to accurately estimate the source wavelet.

Speakers

Thursday March 5, 2015 15:15 - 17:15 CST
BioScience Research Collaborative 6500 Main Street, Houston, Tx 77005

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