Standard

Ground roll noise attenuation in the low-frequency space using a heuristic approach. / Semin, D. G.; Shavkunov, M. V.; Kovalenko, L. A.

Data Science in Oil and Gas 2021, DSOG 2021. European Association of Geoscientists and Engineers, 2021. p. 1-6 (Data Science in Oil and Gas 2021, DSOG 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Semin, DG, Shavkunov, MV & Kovalenko, LA 2021, Ground roll noise attenuation in the low-frequency space using a heuristic approach. in Data Science in Oil and Gas 2021, DSOG 2021. Data Science in Oil and Gas 2021, DSOG 2021, European Association of Geoscientists and Engineers, pp. 1-6, 2nd EAGE Data Science in Oil and Gas Conference 2021, DSOG 2021, Novosibirsk, Virtual, Russian Federation, 4/08/21. https://doi.org/10.3997/2214-4609.202156033

APA

Semin, D. G., Shavkunov, M. V., & Kovalenko, L. A. (2021). Ground roll noise attenuation in the low-frequency space using a heuristic approach. In Data Science in Oil and Gas 2021, DSOG 2021 (pp. 1-6). (Data Science in Oil and Gas 2021, DSOG 2021). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202156033

Vancouver

Semin DG, Shavkunov MV, Kovalenko LA. Ground roll noise attenuation in the low-frequency space using a heuristic approach. In Data Science in Oil and Gas 2021, DSOG 2021. European Association of Geoscientists and Engineers. 2021. p. 1-6. (Data Science in Oil and Gas 2021, DSOG 2021). https://doi.org/10.3997/2214-4609.202156033

Author

Semin, D. G. ; Shavkunov, M. V. ; Kovalenko, L. A. / Ground roll noise attenuation in the low-frequency space using a heuristic approach. Data Science in Oil and Gas 2021, DSOG 2021. European Association of Geoscientists and Engineers, 2021. pp. 1-6 (Data Science in Oil and Gas 2021, DSOG 2021).

BibTeX

@inproceedings{6b2dbb59df5e46809646ed63f34d6fb6,
title = "Ground roll noise attenuation in the low-frequency space using a heuristic approach",
abstract = "Seismic data processing is a long, complex and iterative process implemented at Gazprom Neft. One of the stages of this process is the ground roll noise attenuation. Implementation requires the presence in the company of specialists-geophysicists with strong mathematical background, who currently solve this problem by manually selecting combinations of various predetermined filters. The company has been dealing with this task for a long time and has accumulated a representative sample of data where manual noise attenuation has been implemented. This information can be used as an automatic hypothesis test for new filtering methods. Based on this approach, we propose a method for obtaining ground roll noise masks and a method for its attenuation in the Fourier frequency domain FK transformbased on heuristic rules.",
author = "Semin, {D. G.} and Shavkunov, {M. V.} and Kovalenko, {L. A.}",
note = "Publisher Copyright: {\textcopyright} 2021 Data Science in Oil and Gas 2021, DSOG 2021. All rights reserved.; 2nd EAGE Data Science in Oil and Gas Conference 2021, DSOG 2021 ; Conference date: 04-08-2021 Through 06-08-2021",
year = "2021",
month = aug,
day = "4",
doi = "10.3997/2214-4609.202156033",
language = "English",
series = "Data Science in Oil and Gas 2021, DSOG 2021",
publisher = "European Association of Geoscientists and Engineers",
pages = "1--6",
booktitle = "Data Science in Oil and Gas 2021, DSOG 2021",
address = "Netherlands",

}

RIS

TY - GEN

T1 - Ground roll noise attenuation in the low-frequency space using a heuristic approach

AU - Semin, D. G.

AU - Shavkunov, M. V.

AU - Kovalenko, L. A.

N1 - Publisher Copyright: © 2021 Data Science in Oil and Gas 2021, DSOG 2021. All rights reserved.

PY - 2021/8/4

Y1 - 2021/8/4

N2 - Seismic data processing is a long, complex and iterative process implemented at Gazprom Neft. One of the stages of this process is the ground roll noise attenuation. Implementation requires the presence in the company of specialists-geophysicists with strong mathematical background, who currently solve this problem by manually selecting combinations of various predetermined filters. The company has been dealing with this task for a long time and has accumulated a representative sample of data where manual noise attenuation has been implemented. This information can be used as an automatic hypothesis test for new filtering methods. Based on this approach, we propose a method for obtaining ground roll noise masks and a method for its attenuation in the Fourier frequency domain FK transformbased on heuristic rules.

AB - Seismic data processing is a long, complex and iterative process implemented at Gazprom Neft. One of the stages of this process is the ground roll noise attenuation. Implementation requires the presence in the company of specialists-geophysicists with strong mathematical background, who currently solve this problem by manually selecting combinations of various predetermined filters. The company has been dealing with this task for a long time and has accumulated a representative sample of data where manual noise attenuation has been implemented. This information can be used as an automatic hypothesis test for new filtering methods. Based on this approach, we propose a method for obtaining ground roll noise masks and a method for its attenuation in the Fourier frequency domain FK transformbased on heuristic rules.

UR - http://www.scopus.com/inward/record.url?scp=85118923925&partnerID=8YFLogxK

U2 - 10.3997/2214-4609.202156033

DO - 10.3997/2214-4609.202156033

M3 - Conference contribution

AN - SCOPUS:85118923925

T3 - Data Science in Oil and Gas 2021, DSOG 2021

SP - 1

EP - 6

BT - Data Science in Oil and Gas 2021, DSOG 2021

PB - European Association of Geoscientists and Engineers

T2 - 2nd EAGE Data Science in Oil and Gas Conference 2021, DSOG 2021

Y2 - 4 August 2021 through 6 August 2021

ER -

ID: 85238580