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Local full-waveform inversion using distant data

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Local full-waveform inversion using distant data

Yder J. Masson, Barbara Romanowicz, Allen Zhao Zheng

To cite this version:

Yder J. Masson, Barbara Romanowicz, Allen Zhao Zheng. Local full-waveform inversion using distant

data. EGU General Assembly 2014, Apr 2014, Vienna, Austria. pp.2014 - 13186. �hal-01654135�

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Geophysical Research Abstracts Vol. 16, EGU2014-13186, 2014 EGU General Assembly 2014

© Author(s) 2014. CC Attribution 3.0 License.

Local full-waveform inversion using distant data

Yder Masson (1), Barbara Romanowicz (2,1,3), and Allen Zhao Zheng (3)

(1) Institut de physique du globe de Paris, Paris, France, (2) Collège de France, Paris, France, (3) Berkeley Seismological Laboratory, Berkeley, CA, U.S.A.

Imaging remote objects in the deep Earth, such as, subducting slabs, mantle plumes, or large low shear velocity provinces and ultra low velocity zones is key for understanding Earth’s structure and the geodynamical processes involved as it cools. In order to image these structures, we developed a strategy for performing regional-scale full-waveform inversions at arbitrary location inside the Earth [1]. Our approach is to confine wave propagation computations inside the region to be imaged. This local wavefield modeling is used in combination with wavefield extrapolation techniques in order to obtain synthetic seismograms at the surface of the Earth [2]. This allows us to evaluate a misfit functional and sensitivity kernels can then be computed locally using the adjoint state method [3]. The Green’s functions needed for extrapolating the wavefield are computed once for all in a 3D reference Earth model using the spectral element software Specfem/3DGLOBE. We will present benchmark tests demonstrating that the proposed method allows us to image 3D localized structures - this without having to model wave propagation in the entire Earth at each iteration, which is prohibitively costly, thus improving the feasibility of accurate imaging of regional structures anywhere in the Earth using numerical methods. We will show that our method permits to account for additional data in regional inversions, that is to account for distant earthquakes that are located outside the region of the study - preliminary results for the tomography of the north American continent will be presented.

[1] Masson, Yder, Paul Cupillard, Yann Capdeville, and Barbara Romanowicz. On the numerical im- ple-mentation of time-reversal mirrors for tomographic imaging. Geophysical Journal International, 2013.

[2] J. O. A. Robertsson, S. Ryan-Grigor, C. M. Sayers, and C. H. Chapman. A finite-difference injection approach to modeling seismic fluid flow monitoring. Geophysics, 65(3):896–906, 2000.

[3] R-E Plessix. A review of the adjoint-state method for computing the gradient of a functional with geo-physical applications. Geogeo-physical Journal International, 167(2):495–503, 2006.

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