Statistics – Computation
Scientific paper
Apr 2012
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2012geoji.tmp..527a&link_type=abstract
Geophysical Journal International, Online Early
Statistics
Computation
Numerical Solutions, Inverse Theory, Wave Scattering And Diffraction
Scientific paper
We present a regularized Gauss-Newton (GN) inversion method for solving the elastic full-waveform inversion problem in the frequency domain. The main bottleneck of this method is the Jacobian matrix storage and the computational cost of calculating the GN step (the inner-loop calculation). In this work, we managed to reduce the memory usage by calculating the Jacobian matrix on the fly in each inner-loop iteration. By doing so the computational cost of calculating the GN step increases; however, this overhead is mitigated by compressing the field matrices using the adaptive cross approximation scheme. For some cases, this compressed implicit Jacobian scheme may even speed-up the GN step calculation and further regularizes the GN method. As examples, we present inversion results of cross-well seismic and surface seismic data.
Abubakar Aria
Habashy Tarek M.
Li Maohua
Lin Yangtin
No associations
LandOfFree
Compressed implicit Jacobian scheme for elastic full-waveform inversion does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Compressed implicit Jacobian scheme for elastic full-waveform inversion, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Compressed implicit Jacobian scheme for elastic full-waveform inversion will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1116892