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Full Waveform Inversion in Viscoelastic Media

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Book cover Computational Science and Its Applications – ICCSA 2021 (ICCSA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12950))

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Abstract

Accumulations of gas hydrates in the bottom layers pose not only a potential threat to offshore engineering structures and shipping. They can also cause the release of significant volumes of methane into the atmosphere. The most natural way to detect gas hydrates is to use seismic methods. The technology of their application on the shelf is quite well developed, and there is a wide range of instrumental and methodological solutions that ensure their practical use. Detecting gas hydrates belongs to the class of multi-parameter inverse problems. Indeed, gas hydrates in the surrounding medium lead to a change in the propagation velocity of seismic waves and an increased level of wave absorption in these areas. Thus, the correct localization of the gas hydrate accumulations requires determining those regions in space where both the propagation velocities of seismic waves and quality factor change simultaneously. This work deals with the study of the trade-off in velocities and the quality factor of seismic waves. Namely, which condition we need to separate these two parameters’ perturbations by solving the dynamic inverse problem of seismic wave propagation.

Supported by Russian Science Foundation, project 20-11-20112.

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Authors and Affiliations

  1. Institute of Computational Mathematics and Mathematical Geophysics, Novosibirsk, Russia

    Vladimir Cheverda & Galina Reshetova

  2. Institute of Petroleum Geology and Geophysics, Novosibirsk, Russia

    Vladimir Cheverda & Ekaterina Efimova

Authors
  1. Vladimir Cheverda
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  2. Ekaterina Efimova
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  3. Galina Reshetova
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Corresponding author

Correspondence to Vladimir Cheverda .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Monash University, Clayton, VIC, Australia

    David Taniar

  7. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

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Cheverda, V., Efimova, E., Reshetova, G. (2021). Full Waveform Inversion in Viscoelastic Media. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12950. Springer, Cham. https://doi.org/10.1007/978-3-030-86960-1_23

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  • DOI: https://doi.org/10.1007/978-3-030-86960-1_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86959-5

  • Online ISBN: 978-3-030-86960-1

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