Standard

Data space reflectivity full waveform inversion. / Gadylshin, Kirill; Tcheverda, Vladimir.

In: Journal of Physics: Conference Series, Vol. 1392, No. 1, 012080, 13.12.2019.

Research output: Contribution to journal › Conference article › peer-review

Harvard

Gadylshin, K & Tcheverda, V 2019, 'Data space reflectivity full waveform inversion', Journal of Physics: Conference Series, vol. 1392, no. 1, 012080. https://doi.org/10.1088/1742-6596/1392/1/012080

APA

Gadylshin, K., & Tcheverda, V. (2019). Data space reflectivity full waveform inversion. Journal of Physics: Conference Series, 1392(1), [012080]. https://doi.org/10.1088/1742-6596/1392/1/012080

Vancouver

Gadylshin K, Tcheverda V. Data space reflectivity full waveform inversion. Journal of Physics: Conference Series. 2019 Dec 13;1392(1):012080. doi: 10.1088/1742-6596/1392/1/012080

Author

Gadylshin, Kirill ; Tcheverda, Vladimir. / Data space reflectivity full waveform inversion. In: Journal of Physics: Conference Series. 2019 ; Vol. 1392, No. 1.

BibTeX

@article{afe43ca0f6764d328cb82a2457260e77,
title = "Data space reflectivity full waveform inversion",
abstract = "The full waveform inversion of seismic data aroused the hope to perform simultaneously and in automated way tomography and imaging by solving non-linear least-squares optimization problem. As it has been recognized early, brute force minimization by classical methods is hopeless if low time frequencies are absent in the data. The paper develops a reliable numerical technique for smooth velocity reconstruction via model space decomposition. We present realistic synthetic examples for validating presented algorithm.",
author = "Kirill Gadylshin and Vladimir Tcheverda",
year = "2019",
month = dec,
day = "13",
doi = "10.1088/1742-6596/1392/1/012080",
language = "English",
volume = "1392",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd.",
number = "1",
note = "4th International Conference on Supercomputer Technologies of Mathematical Modelling, SCTeMM 2019 ; Conference date: 19-06-2019 Through 21-06-2019",

}

RIS

TY - JOUR

T1 - Data space reflectivity full waveform inversion

AU - Gadylshin, Kirill

AU - Tcheverda, Vladimir

PY - 2019/12/13

Y1 - 2019/12/13

N2 - The full waveform inversion of seismic data aroused the hope to perform simultaneously and in automated way tomography and imaging by solving non-linear least-squares optimization problem. As it has been recognized early, brute force minimization by classical methods is hopeless if low time frequencies are absent in the data. The paper develops a reliable numerical technique for smooth velocity reconstruction via model space decomposition. We present realistic synthetic examples for validating presented algorithm.

AB - The full waveform inversion of seismic data aroused the hope to perform simultaneously and in automated way tomography and imaging by solving non-linear least-squares optimization problem. As it has been recognized early, brute force minimization by classical methods is hopeless if low time frequencies are absent in the data. The paper develops a reliable numerical technique for smooth velocity reconstruction via model space decomposition. We present realistic synthetic examples for validating presented algorithm.

UR - http://www.scopus.com/inward/record.url?scp=85078105963&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/1392/1/012080

DO - 10.1088/1742-6596/1392/1/012080

M3 - Conference article

AN - SCOPUS:85078105963

VL - 1392

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 012080

T2 - 4th International Conference on Supercomputer Technologies of Mathematical Modelling, SCTeMM 2019

Y2 - 19 June 2019 through 21 June 2019

ER -

ID: 25772991