Zobrazeno 1 - 10
of 73
pro vyhledávání: '"D. Vishnevsky"'
Publikováno v:
Computers & Mathematics with Applications. 97:344-354
This article presents a parallel algorithm for seismic imaging based on depth wavefield extrapolation (the solution of a one-way wave equation [OWE]) employing the pseudospectral method. The algorithm is essentially oriented on common-offset vector (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f320636b5a39072aa557f6d5615f3699
https://doi.org/10.1016/j.camwa.2021.06.007
https://doi.org/10.1016/j.camwa.2021.06.007
Akademický článek
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Publikováno v:
Interexpo GEO-Siberia. 2:17-25
Seismic modelling is the most computationally intense and time consuming part of seismic processing and imaging algorithms. Indeed, generation of a typical seismic data-set requires approximately 10 core-hours of a standard CPU-based clusters. Such a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba78252f4c859d594bca3be12058f175
https://doi.org/10.33764/2618-981x-2021-2-2-17-25
https://doi.org/10.33764/2618-981x-2021-2-2-17-25
Publikováno v:
Computational Science and Its Applications – ICCSA 2021 ISBN: 9783030866525
ICCSA (1)
ICCSA (1)
We present an original approach to improving seismic modelling performance by applying deep learning techniques to mitigate numerical error. In seismic modelling, a series of several thousand simulations are required to generate a typical seismic dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a2966f22404d0140884231b256aaf3b
https://doi.org/10.1007/978-3-030-86653-2_3
https://doi.org/10.1007/978-3-030-86653-2_3
Publikováno v:
82nd EAGE Annual Conference & Exhibition.
Summary We present the approach to seismic modelling combining the conventional grid-based numerical simulation with DNN-based approach using the NDM-net. The first step of the proposed workflow is a generation of the training dataset. It requires fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a816945079b08770b8ddafcbc2a81e2
https://doi.org/10.3997/2214-4609.202112693
https://doi.org/10.3997/2214-4609.202112693
Publikováno v:
Computational Science and Its Applications – ICCSA 2021 ISBN: 9783030866525
ICCSA (1)
ICCSA (1)
We present a numerical algorithm of seismic wave propagation in anisotropic fractured fluid-saturated porous media and estimation of seismic attenuation. The algorithm is based on numerical solution of anisotropic Biot equations of poroelasticity. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::047903d9ebc55689a01d3758478a6931
https://doi.org/10.1007/978-3-030-86653-2_32
https://doi.org/10.1007/978-3-030-86653-2_32
Autor:
D. Vishnevsky, M. Galat, ecological biosphere reserve, Kyiv, Ukraine, O.O. Burdo, О. Boyko, Chornobyl Radiation, A.I. Lypska, V. Galat, O. Semenko
Publikováno v:
Ukrainian journal of veterinary sciences. 11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::616c9dddcb4ee5bdc4939c31e82a2afc
https://doi.org/10.31548/ujvs2020.04.002
https://doi.org/10.31548/ujvs2020.04.002
Autor:
Maxim Protasov, Vladimir Tcheverda, Galina Reshetova, D. Vishnevsky, Jan Tveranger, D.R. Kolyukhin, Dongfang Qu, Vadim Lisitsa
Publikováno v:
Doklady Earth Sciences. 473:477-481
This paper addresses seismic imaging of fault zones and analysis of the seismic data with the use of the fault facies model developed at Uni Research CIPR. Simulated and ideal seismic images were produced to generate a statistical ensemble of realiza
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e41d02f0815e778bc0bcdb25275c72b
https://doi.org/10.1134/s1028334x17040249
https://doi.org/10.1134/s1028334x17040249
Publikováno v:
Fourth EAGE Workshop on High Performance Computing for Upstream 2019.
Summary We present an original algorithm for seismic imaging, based on the depth wavefield extrapolation by one-way wave equation. Parallel implementation of the algorithm is based on the several levels of parallelism. Parallelism of the input data p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de1613d7b217973fec1e425d9ab669b9
https://doi.org/10.3997/2214-4609.201903278
https://doi.org/10.3997/2214-4609.201903278
Autor:
A. Olyunin, D. Litvichenko, A. Ivlev, Y. Pavlovsky, V. Lisitsa, I. Romanchenko, V. Demin, D. Vishnevsky, M. Tarakanovsky, A. Shevchenko
Publikováno v:
Progress’19.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c2d603f93637627e77e890b4b66c4bf
https://doi.org/10.3997/2214-4609.201953060
https://doi.org/10.3997/2214-4609.201953060