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Statistical analysis of free-surface variability's impact on seismic wavefield. / Kolyukhin, D. R.; Lisitsa, V. V.; Tcheverda, V. A.

7th EAGE Saint Petersburg International Conference and Exhibition: Understanding the Harmony of the Earth's Resources Through Integration of Geosciences. European Association of Geoscientists and Engineers, EAGE, 2016. стр. 434-438 (7th EAGE Saint Petersburg International Conference and Exhibition: Understanding the Harmony of the Earth's Resources Through Integration of Geosciences).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаяРецензирование

Harvard

Kolyukhin, DR, Lisitsa, VV & Tcheverda, VA 2016, Statistical analysis of free-surface variability's impact on seismic wavefield. в 7th EAGE Saint Petersburg International Conference and Exhibition: Understanding the Harmony of the Earth's Resources Through Integration of Geosciences. 7th EAGE Saint Petersburg International Conference and Exhibition: Understanding the Harmony of the Earth's Resources Through Integration of Geosciences, European Association of Geoscientists and Engineers, EAGE, стр. 434-438, 7th EAGE Saint Petersburg International Conference and Exhibition: Understanding the Harmony of the Earth's Resources Through Integration of Geosciences, Saint Petersburg, Российская Федерация, 11.04.2016. https://doi.org/10.3997/2214-4609.201600114

APA

Kolyukhin, D. R., Lisitsa, V. V., & Tcheverda, V. A. (2016). Statistical analysis of free-surface variability's impact on seismic wavefield. в 7th EAGE Saint Petersburg International Conference and Exhibition: Understanding the Harmony of the Earth's Resources Through Integration of Geosciences (стр. 434-438). (7th EAGE Saint Petersburg International Conference and Exhibition: Understanding the Harmony of the Earth's Resources Through Integration of Geosciences). European Association of Geoscientists and Engineers, EAGE. https://doi.org/10.3997/2214-4609.201600114

Vancouver

Kolyukhin DR, Lisitsa VV, Tcheverda VA. Statistical analysis of free-surface variability's impact on seismic wavefield. в 7th EAGE Saint Petersburg International Conference and Exhibition: Understanding the Harmony of the Earth's Resources Through Integration of Geosciences. European Association of Geoscientists and Engineers, EAGE. 2016. стр. 434-438. (7th EAGE Saint Petersburg International Conference and Exhibition: Understanding the Harmony of the Earth's Resources Through Integration of Geosciences). doi: 10.3997/2214-4609.201600114

Author

Kolyukhin, D. R. ; Lisitsa, V. V. ; Tcheverda, V. A. / Statistical analysis of free-surface variability's impact on seismic wavefield. 7th EAGE Saint Petersburg International Conference and Exhibition: Understanding the Harmony of the Earth's Resources Through Integration of Geosciences. European Association of Geoscientists and Engineers, EAGE, 2016. стр. 434-438 (7th EAGE Saint Petersburg International Conference and Exhibition: Understanding the Harmony of the Earth's Resources Through Integration of Geosciences).

BibTeX

@inproceedings{1174b24138264fe5aa22fe9acbcb4bc8,
title = "Statistical analysis of free-surface variability's impact on seismic wavefield",
abstract = "One of the main challenges in seismic monitoring is the repeatability of the experiment conditions. Among other reasons changes in surface topography over time may cause strong non-repeatability in acquired seismic data especially in desert environment where the sand dunes can move between surveys. In this paper we present a numerical study of the effects of free-surface variation, defined as homogeneous Gaussian random field, on the seismic data. We show that for homogeneous models repeatability metrics (such as NRMS and predictability) using the early arrivals as measured by buried receivers depend mainly on the perturbation, but not on the smooth trend of the free-surface topography. For models with complex near-surface velocity NRMS for the thin sand area (<5 m) is almost twice as high as in the thick sand area (>10 m). Moreover, we demonstrate that significant non-repeatability (NRMS up to 70%) can be caused by just surface elevation changes.",
author = "Kolyukhin, {D. R.} and Lisitsa, {V. V.} and Tcheverda, {V. A.}",
year = "2016",
doi = "10.3997/2214-4609.201600114",
language = "English",
series = "7th EAGE Saint Petersburg International Conference and Exhibition: Understanding the Harmony of the Earth's Resources Through Integration of Geosciences",
publisher = "European Association of Geoscientists and Engineers, EAGE",
pages = "434--438",
booktitle = "7th EAGE Saint Petersburg International Conference and Exhibition",
note = "7th EAGE Saint Petersburg International Conference and Exhibition: Understanding the Harmony of the Earth's Resources Through Integration of Geosciences ; Conference date: 11-04-2016 Through 14-04-2016",

}

RIS

TY - GEN

T1 - Statistical analysis of free-surface variability's impact on seismic wavefield

AU - Kolyukhin, D. R.

AU - Lisitsa, V. V.

AU - Tcheverda, V. A.

PY - 2016

Y1 - 2016

N2 - One of the main challenges in seismic monitoring is the repeatability of the experiment conditions. Among other reasons changes in surface topography over time may cause strong non-repeatability in acquired seismic data especially in desert environment where the sand dunes can move between surveys. In this paper we present a numerical study of the effects of free-surface variation, defined as homogeneous Gaussian random field, on the seismic data. We show that for homogeneous models repeatability metrics (such as NRMS and predictability) using the early arrivals as measured by buried receivers depend mainly on the perturbation, but not on the smooth trend of the free-surface topography. For models with complex near-surface velocity NRMS for the thin sand area (<5 m) is almost twice as high as in the thick sand area (>10 m). Moreover, we demonstrate that significant non-repeatability (NRMS up to 70%) can be caused by just surface elevation changes.

AB - One of the main challenges in seismic monitoring is the repeatability of the experiment conditions. Among other reasons changes in surface topography over time may cause strong non-repeatability in acquired seismic data especially in desert environment where the sand dunes can move between surveys. In this paper we present a numerical study of the effects of free-surface variation, defined as homogeneous Gaussian random field, on the seismic data. We show that for homogeneous models repeatability metrics (such as NRMS and predictability) using the early arrivals as measured by buried receivers depend mainly on the perturbation, but not on the smooth trend of the free-surface topography. For models with complex near-surface velocity NRMS for the thin sand area (<5 m) is almost twice as high as in the thick sand area (>10 m). Moreover, we demonstrate that significant non-repeatability (NRMS up to 70%) can be caused by just surface elevation changes.

UR - http://www.scopus.com/inward/record.url?scp=84971423355&partnerID=8YFLogxK

U2 - 10.3997/2214-4609.201600114

DO - 10.3997/2214-4609.201600114

M3 - Conference contribution

AN - SCOPUS:84971423355

T3 - 7th EAGE Saint Petersburg International Conference and Exhibition: Understanding the Harmony of the Earth's Resources Through Integration of Geosciences

SP - 434

EP - 438

BT - 7th EAGE Saint Petersburg International Conference and Exhibition

PB - European Association of Geoscientists and Engineers, EAGE

T2 - 7th EAGE Saint Petersburg International Conference and Exhibition: Understanding the Harmony of the Earth's Resources Through Integration of Geosciences

Y2 - 11 April 2016 through 14 April 2016

ER -

ID: 25776850