Anisotropy from full waveform inversion of multicomponent seismic data using a hybrid optimization method

Ji, Y. and Singh, S. C. (2005) Anisotropy from full waveform inversion of multicomponent seismic data using a hybrid optimization method. Geophysical Prospecting, 53 (3). pp. 435-445. DOI 10.1111/j.1365-2478.2005.00476.x

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Abstract

Seismic waveforms contain valuable information about the media, but the waveform inversion is a non-linear problem. We present a waveform inversion method that combines a local optimization method with a genetic algorithm to determine the anisotropic parameters of a horizontally stratified medium. Synthetic seismograms for a horizontally stratified anisotropic medium are calculated using the reflectivity technique. In the initial stage of the inversion, the global space-sampling properties of the genetic algorithm are used to direct the search to the region close to the global solution. This solution is then further improved using a conjugate-gradient method. The numerical experiments performed with noisy synthetic data show that our hybrid optimization method satisfactorily reconstructs the anisotropic parameters at a reasonable computing cost while the range of slowness is adequate. We found that (i) for small-angle data neither single- nor multiple-component data are sufficient to determine the anisotropic parameters uniquely; (ii) for medium-angle data the multiple-component data are sufficient to determine the anisotropic parameters exactly whereas the single-component data are not sufficient; and (iii) for wideangle data, either single- or multiple-component data are sufficient to determine the anisotropic parameters accurately.

Item Type: Article
Uncontrolled Keywords: 2005 AREP 2005 P IA48
Subjects: 02 - Geodynamics, Geophysics and Tectonics
Divisions: 02 - Geodynamics, Geophysics and Tectonics
Journal or Publication Title: Geophysical Prospecting
Volume: 53
Page Range: pp. 435-445
Identification Number: 10.1111/j.1365-2478.2005.00476.x
Depositing User: Sarah Humbert
Date Deposited: 10 Mar 2011 12:25
Last Modified: 23 Jul 2013 09:59
URI: http://eprints.esc.cam.ac.uk/id/eprint/1703

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