Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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 конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
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