Acceleration strategies for elastic full waveform inversion workflows in 2D and 3D

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Acceleration strategies for elastic full waveform inversion workflows in 2D and 3D. / Kormann, Jean, Antoine; Rodriguez, Juan Esteban; Ferrer, Miguel et al.
In: Computational Geosciences, Vol. 21.2017, No. February, 22.10.2016, p. 31-45.

Research output: Contribution to journal › Article › Research › peer-review

Harvard

Kormann, JA, Rodriguez, JE, Ferrer, M, Farres, A, Gutierrez, N, de la Puente, J, Hanzich, M & Cela, JM 2016, 'Acceleration strategies for elastic full waveform inversion workflows in 2D and 3D', Computational Geosciences, vol. 21.2017, no. February, pp. 31-45. https://doi.org/10.1007/s10596-016-9593-0

APA

Kormann, J. A., Rodriguez, J. E., Ferrer, M., Farres, A., Gutierrez, N., de la Puente, J., Hanzich, M., & Cela, J. M. (2016). Acceleration strategies for elastic full waveform inversion workflows in 2D and 3D. Computational Geosciences, 21.2017(February), 31-45. https://doi.org/10.1007/s10596-016-9593-0

Vancouver

Kormann JA, Rodriguez JE, Ferrer M, Farres A, Gutierrez N, de la Puente J et al. Acceleration strategies for elastic full waveform inversion workflows in 2D and 3D. Computational Geosciences. 2016 Oct 22;21.2017(February):31-45. doi: 10.1007/s10596-016-9593-0

Author

Kormann, Jean, Antoine ; Rodriguez, Juan Esteban ; Ferrer, Miguel et al. / Acceleration strategies for elastic full waveform inversion workflows in 2D and 3D. In: Computational Geosciences. 2016 ; Vol. 21.2017, No. February. pp. 31-45.

Bibtex - Download

@article{7ccc4c4896c2489592cb9a34c0133137,
title = "Acceleration strategies for elastic full waveform inversion workflows in 2D and 3D",
abstract = "Full waveform inversion (FWI) is one of the mostchallenging procedures to obtain quantitative informationof the subsurface. For elastic inversions, when both com-pressional and shear velocities have to be inverted, thealgorithmic issue becomes also a computational challengedue to the high cost related to modelling elastic rather thanacoustic waves. This shortcoming has been moderately mit-igated by using high-performance computing to accelerate3D elastic FWI kernels. Nevertheless, there is room in theFWI workflows for obtaining large speedups at the cost ofproper grid pre-processing and data decimation techniques.In the present work, we show how by making full use offrequency-adapted grids, composite shot lists and a noveldynamic offset control strategy, we can reduce by severalorders of magnitude the compute time while improving theconvergence of the method in the studied cases, regardlessof the forward and adjoint compute kernels used.",
author = "Kormann, {Jean, Antoine} and Rodriguez, {Juan Esteban} and Miguel Ferrer and Albert Farres and Natalia Gutierrez and {de la Puente}, Josep and Mauricio Hanzich and Cela, {Jose Maria}",
year = "2016",
month = oct,
day = "22",
doi = "10.1007/s10596-016-9593-0",
language = "English",
volume = "21.2017",
pages = "31--45",
journal = "Computational Geosciences",
publisher = "Springer",
number = "February",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Acceleration strategies for elastic full waveform inversion workflows in 2D and 3D

AU - Kormann, Jean, Antoine

AU - Rodriguez, Juan Esteban

AU - Ferrer, Miguel

AU - Farres, Albert

AU - Gutierrez, Natalia

AU - de la Puente, Josep

AU - Hanzich, Mauricio

AU - Cela, Jose Maria

PY - 2016/10/22

Y1 - 2016/10/22

N2 - Full waveform inversion (FWI) is one of the mostchallenging procedures to obtain quantitative informationof the subsurface. For elastic inversions, when both com-pressional and shear velocities have to be inverted, thealgorithmic issue becomes also a computational challengedue to the high cost related to modelling elastic rather thanacoustic waves. This shortcoming has been moderately mit-igated by using high-performance computing to accelerate3D elastic FWI kernels. Nevertheless, there is room in theFWI workflows for obtaining large speedups at the cost ofproper grid pre-processing and data decimation techniques.In the present work, we show how by making full use offrequency-adapted grids, composite shot lists and a noveldynamic offset control strategy, we can reduce by severalorders of magnitude the compute time while improving theconvergence of the method in the studied cases, regardlessof the forward and adjoint compute kernels used.

AB - Full waveform inversion (FWI) is one of the mostchallenging procedures to obtain quantitative informationof the subsurface. For elastic inversions, when both com-pressional and shear velocities have to be inverted, thealgorithmic issue becomes also a computational challengedue to the high cost related to modelling elastic rather thanacoustic waves. This shortcoming has been moderately mit-igated by using high-performance computing to accelerate3D elastic FWI kernels. Nevertheless, there is room in theFWI workflows for obtaining large speedups at the cost ofproper grid pre-processing and data decimation techniques.In the present work, we show how by making full use offrequency-adapted grids, composite shot lists and a noveldynamic offset control strategy, we can reduce by severalorders of magnitude the compute time while improving theconvergence of the method in the studied cases, regardlessof the forward and adjoint compute kernels used.

U2 - 10.1007/s10596-016-9593-0

DO - 10.1007/s10596-016-9593-0

M3 - Article

VL - 21.2017

SP - 31

EP - 45

JO - Computational Geosciences

JF - Computational Geosciences

IS - February

ER -

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