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High-Performance Implementation of 3D Seismic Target-Oriented Imaging

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Supercomputing (RuSCDays 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1510))

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Abstract

The paper presents the high-performance implementation of the target-oriented 3D seismic imaging procedure. The migration algorithm uses individual Gaussian beams for focusing seismic energy inside every target image point with the best resolution, and the imaging operator provides data transformation in the angle domain coordinates. The parallel implementation of the imaging procedure can process large volumes of 3D seismic data in production mode. The paper provides test results for a representative set of synthetic and real data.

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Acknowledgments

The work is supported by RSF grant 21-71-20002. The numerical results of the work were obtained using computational resources of Peter the Great Saint-Petersburg Polytechnic University Supercomputing Center (scc.spbstu.ru).

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Authors and Affiliations

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

    Maxim Protasov

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  1. Maxim Protasov
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Correspondence to Maxim Protasov .

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Editors and Affiliations

  1. RCC MSU, Moscow, Russia

    Vladimir Voevodin

  2. RCC MSU, Moscow, Russia

    Sergey Sobolev

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Protasov, M. (2021). High-Performance Implementation of 3D Seismic Target-Oriented Imaging. In: Voevodin, V., Sobolev, S. (eds) Supercomputing. RuSCDays 2021. Communications in Computer and Information Science, vol 1510. Springer, Cham. https://doi.org/10.1007/978-3-030-92864-3_10

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  • DOI: https://doi.org/10.1007/978-3-030-92864-3_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-92863-6

  • Online ISBN: 978-3-030-92864-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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