none
10.1190/geo20100210.1
Society of Exploration Geophysicists
Society of Exploration Geophysicists
186
51716040
5981
2021031506524000522
10.1190
20211216T19:59:32Z
20111116T15:42:24Z
121
GEOPHYSICS
GEOPHYSICS
00168033
19422156
09
2011
76
5
Sourceindependent timedomain waveform inversion using convolved wavefields: Application to the encoded multisource waveform inversion
Yunseok
Choi
King Abdullah University of Science and Technology, Physical Science and Engineering Division, Thuwal, Saudi Arabia..
Tariq
Alkhalifah
King Abdullah University of Science and Technology, Physical Science and Engineering Division, Thuwal, Saudi Arabia..
Full waveform inversion requires a good estimation of the source wavelet to improve our chances of a successful inversion. This is especially true for an encoded multisource timedomain implementation, which, conventionally, requires separatesource modeling, as well as the Fourier transform of wavefields. As an alternative, we have developed the sourceindependent timedomain waveform inversion using convolved wavefields. Specifically, the misfit function consists of the convolution of the observed wavefields with a reference trace from the modeled wavefield, plus the convolution of the modeled wavefields with a reference trace from the observed wavefield. In this case, the source wavelet of the observed and the modeled wavefields are equally convolved with both terms in the misfit function, and thus, the effects of the source wavelets are eliminated. Furthermore, because the modeled wavefields play a role of lowpass filtering, the observed wavefields in the misfit function, the frequencyselection strategy from low to high can be easily adopted just by setting the maximum frequency of the source wavelet of the modeled wavefields; and thus, no filtering is required. The gradient of the misfit function is computed by backpropagating the new residual seismograms and applying the imaging condition, similar to reversetime migration. In the synthetic data evaluations, our waveform inversion yields inverted models that are close to the true model, but demonstrates, as predicted, some limitations when random noise is added to the synthetic data. We also realized that an average of traces is a better choice for the reference trace than using a single trace.
09
2011
R125
R134
10.1190/geo20100210.1
10.1190/geo20100210.1
https://library.seg.org/doi/10.1190/geo20100210.1

https://library.seg.org/doi/pdf/10.1190/geo20100210.1

http://geophysics.geoscienceworld.org/cgi/doi/10.1190/geo20100210.1
10.1190/1.144388
09630651
Journal of Seismic Exploration
Cheong S.
335
14
2006
10.1785/0120070179
10.1016/j.jcp.2004.09.019
00371106
Bulletin of the Seismological Society of America
Clayton R.
1529
67
1977
10.1785/BSSA0670061529
10.1190/1.1442188
Practical optimization
Gill P. E.
1981
10.1190/1.3230502
Conference on inverse scattering: Theory and application
Lailly P.
1983
10.1190/1.1635054
10.1111/j.13652478.1984.tb00726.x
10.1190/1.1817083
Martin, G. S., K. J. Marfurt and S. Larsen, 2002, Marmousi2: An updated model for the investigation of AVO in structurally complex areas: 72nd Annual International Meeting, SEG, Expanded Abstracts, 1979–1982.
10.1190/1.1444597
10.1046/j.1365246X.1998.00498.x
10.1046/j.13652478.2001.00279.x
10.1190/1.2194523
10.1111/j.13652478.2007.00617.x
10.1190/1.1649391
10.1190/1.1441754
10.1190/1.2356256
10.1190/1.1598125
10.1190/1.1443815
10.1190/1.1444194