A parallel algorithm for studying the ice cover impact onto seismic waves propagation in the shallow arctic waters. / Reshetova, Galina; Cheverda, Vladimir; Lisitsa, Vadim et al.
Supercomputing - 4th Russian Supercomputing Days, RuSCDays 2018, Revised Selected Papers. ed. / Sergey Sobolev; Vladimir Voevodin. Springer-Verlag GmbH and Co. KG, 2019. p. 3-14 (Communications in Computer and Information Science; Vol. 965).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - A parallel algorithm for studying the ice cover impact onto seismic waves propagation in the shallow arctic waters
AU - Reshetova, Galina
AU - Cheverda, Vladimir
AU - Lisitsa, Vadim
AU - Khaidykov, Valery
N1 - Publisher Copyright: © 2019, Springer Nature Switzerland AG. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019/9
Y1 - 2019/9
N2 - The seismic study in the Arctic transition zones in the summer season is troublesome because of the presence of large areas covered by shallow waters like bays, lakes, rivers, their estuaries and so on. The winter season is more convenient and essentially facilitates logistic operations and implementation of seismic acquisition. However in the winter there is another complicating factor: intensive seismic noise generated by sources installed on the floating ice. To understand peculiarities of seismic waves and the origin of such an intensive noise, a representative series of numerical experiments has been performed. In order to simulate the interaction of seismic waves with irregular perturbations of underside of the ice cover, a finite-difference technique based on locally refined in time and in space grids is used. The need to use such grids is primarily due to the different scales of heterogeneities in a reference medium and the ice cover should be taken into account. We use the domain decomposition method to separate the elastic/viscoelastic model into subdomains with different scales. Computations for each subdomain are carried out in parallel. The data exchange between the two groups of CPU is done simultaneously by coupling a coarse and a fine grids. The results of the numerical experiments prove that the main impact to noise is multiple conversions of flexural waves to the body ones and vice versa and open the ways to reduce this noise.
AB - The seismic study in the Arctic transition zones in the summer season is troublesome because of the presence of large areas covered by shallow waters like bays, lakes, rivers, their estuaries and so on. The winter season is more convenient and essentially facilitates logistic operations and implementation of seismic acquisition. However in the winter there is another complicating factor: intensive seismic noise generated by sources installed on the floating ice. To understand peculiarities of seismic waves and the origin of such an intensive noise, a representative series of numerical experiments has been performed. In order to simulate the interaction of seismic waves with irregular perturbations of underside of the ice cover, a finite-difference technique based on locally refined in time and in space grids is used. The need to use such grids is primarily due to the different scales of heterogeneities in a reference medium and the ice cover should be taken into account. We use the domain decomposition method to separate the elastic/viscoelastic model into subdomains with different scales. Computations for each subdomain are carried out in parallel. The data exchange between the two groups of CPU is done simultaneously by coupling a coarse and a fine grids. The results of the numerical experiments prove that the main impact to noise is multiple conversions of flexural waves to the body ones and vice versa and open the ways to reduce this noise.
KW - Domain decomposition
KW - Finite-difference schemes
KW - Local grid refinement
KW - Seismic waves
KW - Transition zones
UR - http://www.scopus.com/inward/record.url?scp=85059884842&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-05807-4_1
DO - 10.1007/978-3-030-05807-4_1
M3 - Conference contribution
AN - SCOPUS:85059884842
SN - 9783030058067
T3 - Communications in Computer and Information Science
SP - 3
EP - 14
BT - Supercomputing - 4th Russian Supercomputing Days, RuSCDays 2018, Revised Selected Papers
A2 - Sobolev, Sergey
A2 - Voevodin, Vladimir
PB - Springer-Verlag GmbH and Co. KG
T2 - 4th Russian Supercomputing Days Conference, RuSCDays 2018
Y2 - 24 September 2018 through 25 September 2018
ER -
ID: 25773672