Standard

Multiparameter data-space reflectivity full waveform inversion in complex geology. / Gadylshin, K.; Cheverda, V.

Saint Petersburg 2020 - Geosciences: Converting Knowledge into Resources. European Association of Geoscientists and Engineers, EAGE, 2020. (Saint Petersburg 2020 - Geosciences: Converting Knowledge into Resources).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Harvard

Gadylshin, K & Cheverda, V 2020, Multiparameter data-space reflectivity full waveform inversion in complex geology. in Saint Petersburg 2020 - Geosciences: Converting Knowledge into Resources. Saint Petersburg 2020 - Geosciences: Converting Knowledge into Resources, European Association of Geoscientists and Engineers, EAGE, 2020 Saint Petersburg International Conference and Exhibition - Geosciences: Converting Knowledge into Resources, Saint Petersburg, Russian Federation, 06.04.2020.

APA

Gadylshin, K., & Cheverda, V. (2020). Multiparameter data-space reflectivity full waveform inversion in complex geology. In Saint Petersburg 2020 - Geosciences: Converting Knowledge into Resources (Saint Petersburg 2020 - Geosciences: Converting Knowledge into Resources). European Association of Geoscientists and Engineers, EAGE.

Vancouver

Gadylshin K, Cheverda V. Multiparameter data-space reflectivity full waveform inversion in complex geology. In Saint Petersburg 2020 - Geosciences: Converting Knowledge into Resources. European Association of Geoscientists and Engineers, EAGE. 2020. (Saint Petersburg 2020 - Geosciences: Converting Knowledge into Resources).

Author

Gadylshin, K. ; Cheverda, V. / Multiparameter data-space reflectivity full waveform inversion in complex geology. Saint Petersburg 2020 - Geosciences: Converting Knowledge into Resources. European Association of Geoscientists and Engineers, EAGE, 2020. (Saint Petersburg 2020 - Geosciences: Converting Knowledge into Resources).

BibTeX

@inproceedings{cf200e08b25745ad9b7068504ecaef60,
title = "Multiparameter data-space reflectivity full waveform inversion in complex geology",
abstract = "A reliable numerical method to solve inverse dynamic problem for elastic waves equation is proposed. This method is based on nonlinear least-squares formulation which is widely known as Full Waveform Inversion (FWI). The key issue on this way is correct reconstruction of macrovelocity component of the model with input seismic data without time frequencies less than 5-7Hz and reasonable source–recievers offsets. To provide correct macrovelocity reconstruction we introduce modified elastic FWI formulation which is sensitive to smooth space variations of both Vp- and Vs-velocity distributions.",
author = "K. Gadylshin and V. Cheverda",
note = "Publisher Copyright: {\textcopyright} 2020 Saint Petersburg 2020 - Geosciences: Converting Knowledge into Resources. All rights reserved. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 2020 Saint Petersburg International Conference and Exhibition - Geosciences: Converting Knowledge into Resources ; Conference date: 06-04-2020 Through 09-04-2020",
year = "2020",
language = "English",
series = "Saint Petersburg 2020 - Geosciences: Converting Knowledge into Resources",
publisher = "European Association of Geoscientists and Engineers, EAGE",
booktitle = "Saint Petersburg 2020 - Geosciences",

}

RIS

TY - GEN

T1 - Multiparameter data-space reflectivity full waveform inversion in complex geology

AU - Gadylshin, K.

AU - Cheverda, V.

N1 - Publisher Copyright: © 2020 Saint Petersburg 2020 - Geosciences: Converting Knowledge into Resources. All rights reserved. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2020

Y1 - 2020

N2 - A reliable numerical method to solve inverse dynamic problem for elastic waves equation is proposed. This method is based on nonlinear least-squares formulation which is widely known as Full Waveform Inversion (FWI). The key issue on this way is correct reconstruction of macrovelocity component of the model with input seismic data without time frequencies less than 5-7Hz and reasonable source–recievers offsets. To provide correct macrovelocity reconstruction we introduce modified elastic FWI formulation which is sensitive to smooth space variations of both Vp- and Vs-velocity distributions.

AB - A reliable numerical method to solve inverse dynamic problem for elastic waves equation is proposed. This method is based on nonlinear least-squares formulation which is widely known as Full Waveform Inversion (FWI). The key issue on this way is correct reconstruction of macrovelocity component of the model with input seismic data without time frequencies less than 5-7Hz and reasonable source–recievers offsets. To provide correct macrovelocity reconstruction we introduce modified elastic FWI formulation which is sensitive to smooth space variations of both Vp- and Vs-velocity distributions.

UR - http://www.scopus.com/inward/record.url?scp=85099532782&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85099532782

T3 - Saint Petersburg 2020 - Geosciences: Converting Knowledge into Resources

BT - Saint Petersburg 2020 - Geosciences

PB - European Association of Geoscientists and Engineers, EAGE

T2 - 2020 Saint Petersburg International Conference and Exhibition - Geosciences: Converting Knowledge into Resources

Y2 - 6 April 2020 through 9 April 2020

ER -

ID: 27734347