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SEISMIC SIMULATION AND RECONSTRUCTION OFMODELS IN PROBLEMS OF STUDING AREAS OF UNDERGROUND NUCLEAR EXPLOSIONS
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M. S. Khairetdinov;V. V. Kovalevsky;G. M. Shimanskaya
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1314-2704
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English
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19
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2.1
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The paper considers the problem of velocity model reconstruction of an elastic medium in the problem of monitoring the zones of underground nuclear explosions. The inverse problem can be solved with help of finding solutions for a set of forward geophysical problems. Main problem is to find the location coordinates and treat to find the characteristic size and shape of cavernous object in entire isotropic elastic media. To realize it the problem statement and the description of basic methods to perform full seismic field numerical modeling are presented. Inclusion is a cavern presented by oval shape object formed in the result of an underground nuclear explosion. The software for 2D and 3D models building (defining values of elastic properties into mesh and model geometry construction) of inhomogeneous elastic media and for simulation of elastic waves propagation was developed. The synthetic results of experiments for 3D full seismic field simulation with cavity inclusion described by elastic parameters with zero values are presented. In terms of the use of neural networks, the advantages of using such an approach are shown. The results of subsurface structure restoration for 2D elastic media with cavernous inclusions are presented.
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conference
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19th International Multidisciplinary Scientific GeoConference SGEM 2019
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19th International Multidisciplinary Scientific GeoConference SGEM 2019, 30 June - 6 July, 2019
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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1051-1058
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30 June - 6 July, 2019
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website
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cdrom
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5458
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seismic field; elastic waves; simulation; neural network; finite-difference method; cavern
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