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The Usage of Grid-Characteristic Method in Seismic Migration Problems

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Smart Modeling for Engineering Systems (GCM50 2018)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 133))

Abstract

This work is devoted to the numerical solution of the inverse problem of seismic survey process – migration. Oil and gas deposits has contrast subsurface boundaries and may be identified with this process. The algorithm for acoustic direct and inverse problem solution is described. The Born approximation allows to use different Green’s functions for the background model. Numerically the precision of algorithm for different input data is estimated. Migration images are compared for acoustic and elastic approximation. The better slope reproducing is identified in elastic case. Some assumptions about obtained numerical artefacts are done. The method for the elastic migration of seismic data in heterogeneous fractured media is described. The quality of two different processing chains is compared. Possible directions for the extension of this approach to the full-wave 3D simulation are identified.

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Acknowledgements

This work was supported by the Russian Foundation for Basic Research and by the Foundation “National Intellectual Development” for supporting undergraduate and graduate students and young scientists, project no. 17-37-80004_mol_ev_a.

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Authors and Affiliations

  1. Moscow Institute of Physics and Technology (MIPT), 9 Institutskiy per, Dolgoprudny, Moscow Region, 141701, Russian Federation

    Vasily I. Golubev

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  1. Vasily I. Golubev
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Correspondence to Vasily I. Golubev .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Numerical Mathematics, Moscow Institute of Physics and Technology, Dolgoprudny, The Moscow Area, Russia

    Igor B. Petrov

  2. Department of Applied Computational Geophysics, Moscow Institute of Physics and Technology, Dolgoprudny, The Moscow Area, Russia

    Alena V. Favorskaya

  3. Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia

    Margarita N. Favorskaya

  4. Department of Computational Physics, Moscow Institute of Physics and Technology, Dolgoprudny, The Moscow Area, Russia

    Sergey S. Simakov

  5. Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, University of Technology, Sydney, NSW, Australia

    Lakhmi C. Jain

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Golubev, V.I. (2019). The Usage of Grid-Characteristic Method in Seismic Migration Problems. In: Petrov, I., Favorskaya, A., Favorskaya, M., Simakov, S., Jain, L. (eds) Smart Modeling for Engineering Systems. GCM50 2018. Smart Innovation, Systems and Technologies, vol 133. Springer, Cham. https://doi.org/10.1007/978-3-030-06228-6_13

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