Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Kirill Gadylshin"'
Publikováno v:
Geosciences, Vol 13, Iss 1, p 19 (2023)
This study considers the full waveform inversion (FWI) method based on the asymptotic solution of the Helmholtz equation. We provide frequency-dependent ray tracing to obtain the wave field used to compute the FWI gradient and calculate the modeled d
Externí odkaz:
https://doaj.org/article/1602aa9b0dc7461a8023fc3177dc2540
Autor:
Vladimir Cheverda, Denis Bratchikov, Kirill Gadylshin, Elena Golubeva, Valentina Malakhova, Galina Reshetova
Publikováno v:
Applied Sciences, Vol 12, Iss 23, p 11929 (2022)
The East Siberian Arctic shelf is the area where the largest natural gas reserves are concentrated. The formation of permafrost of the Arctic shelf during the Ice Age contributed to the emergence of a zone of stable existence of gas hydrates in the s
Externí odkaz:
https://doaj.org/article/52dcaa9141f84dd290d888ea89c1a1d0
Autor:
Vladimir Tcheverda, Kirill Gadylshin
Publikováno v:
Geosciences, Vol 11, Iss 2, p 76 (2021)
The depth velocity model is a critical element for providing seismic data processing success, as it is responsible for the times of waves’ propagation and, therefore, prescribes the location of geological objects in the resulting seismic images. Co
Externí odkaz:
https://doaj.org/article/47bb3578f05547a89099c5fa3bdf146d
Deep-learning-based local wavefront attributes and their application to 3D prestack data enhancement
Publikováno v:
GEOPHYSICS. 88:V277-V289
The work presents a novel workflow to accelerate the estimation of local wavefront attributes (LWAs) from massive 3D prestack seismic data using deep learning (DL) focusing on data enhancement. A standard estimation method based on a semblance-based
Publikováno v:
GEOPHYSICS. 87:T237-T249
We have developed a novel approach for seismic modeling combining conventional finite differences with deep neural networks. The method includes the following steps. First, a training data set composed of a small number of common-shot gathers is gene
Autor:
Vladimir Cheverda, Denis Bratchikov, Kirill Gadylshin, Elena Golubeva, Valentina Malakhova, Galina Reshetova
One of the possible mechanisms causing significant emissions of methane into the atmosphere within the Arctic shelf may be the decomposition of gas hydrates. Their accumulations within the Arctic shelf formed during Ice Age almost simultaneously with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d0ebda97bd5eb26ce8549e7ea5c2506
Publikováno v:
Second International Meeting for Applied Geoscience & Energy.
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
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031229404
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7fb3087af06093ded8b115905569a2f
https://doi.org/10.1007/978-3-031-22941-1_28
https://doi.org/10.1007/978-3-031-22941-1_28
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031229404
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61fd6a0beb7515ebfaa4b5e938cbd69e
https://doi.org/10.1007/978-3-031-22941-1_17
https://doi.org/10.1007/978-3-031-22941-1_17