Investigating the PS seismic imaging of faults using seismic modelling and data from the Snøhvit field, Barents Sea
PS seismic data from the Snøhvit field are compared with seismic modelling to understand the effect of azimuthal separation and incidence angle on the imaging of faults and associated horizon discontinuities. In addition, the frequency content of seismic waves backscattered from faults is analysed....
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Geological Society of London
2021
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ftdatacite:10.6084/m9.figshare.c.5727552.v1 2023-05-15T15:38:59+02:00 Investigating the PS seismic imaging of faults using seismic modelling and data from the Snøhvit field, Barents Sea Cunningham, Jennifer Weiball, Wiktor W. Cardozo, Nestor Iacopini, David 2021 https://dx.doi.org/10.6084/m9.figshare.c.5727552.v1 https://geolsoc.figshare.com/collections/Investigating_the_PS_seismic_imaging_of_faults_using_seismic_modelling_and_data_from_the_Sn_hvit_field_Barents_Sea/5727552/1 unknown Geological Society of London https://dx.doi.org/10.1144/petgeo2020-044 https://dx.doi.org/10.6084/m9.figshare.c.5727552 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Geology FOS Earth and related environmental sciences Collection article 2021 ftdatacite https://doi.org/10.6084/m9.figshare.c.5727552.v1 https://doi.org/10.1144/petgeo2020-044 https://doi.org/10.6084/m9.figshare.c.5727552 2022-02-08T14:36:39Z PS seismic data from the Snøhvit field are compared with seismic modelling to understand the effect of azimuthal separation and incidence angle on the imaging of faults and associated horizon discontinuities. In addition, the frequency content of seismic waves backscattered from faults is analysed. The study area consists of a horst structure delimited by a northern fault dipping NW and oblique to the E-W survey orientation, and a southern fault dipping SSW and subparallel to the survey. Due to the raypath asymmetry of PS reflections, the northern fault is imaged better by azimuthally partitioned W data that include receivers downdip of the fault, relative to the sources, than by E data where the receivers are updip from the sources. Partial stack data show a systematic increase in the PS fault-reflected amplitude and therefore quality of fault imaging with increasing incidence angle. Fault images are dominated by internal low-medium frequency shadows surrounded by medium-high frequencies haloes. Synthetic experiments suggest that this is due to the interaction of specular waves and diffractions, and the spectral contribution from the fault signal, which increases with fault zone complexity. These results highlight the impact of survey geometry and processing workflows on fault imaging. Article in Journal/Newspaper Barents Sea Snøhvit DataCite Metadata Store (German National Library of Science and Technology) Barents Sea |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
unknown |
topic |
Geology FOS Earth and related environmental sciences |
spellingShingle |
Geology FOS Earth and related environmental sciences Cunningham, Jennifer Weiball, Wiktor W. Cardozo, Nestor Iacopini, David Investigating the PS seismic imaging of faults using seismic modelling and data from the Snøhvit field, Barents Sea |
topic_facet |
Geology FOS Earth and related environmental sciences |
description |
PS seismic data from the Snøhvit field are compared with seismic modelling to understand the effect of azimuthal separation and incidence angle on the imaging of faults and associated horizon discontinuities. In addition, the frequency content of seismic waves backscattered from faults is analysed. The study area consists of a horst structure delimited by a northern fault dipping NW and oblique to the E-W survey orientation, and a southern fault dipping SSW and subparallel to the survey. Due to the raypath asymmetry of PS reflections, the northern fault is imaged better by azimuthally partitioned W data that include receivers downdip of the fault, relative to the sources, than by E data where the receivers are updip from the sources. Partial stack data show a systematic increase in the PS fault-reflected amplitude and therefore quality of fault imaging with increasing incidence angle. Fault images are dominated by internal low-medium frequency shadows surrounded by medium-high frequencies haloes. Synthetic experiments suggest that this is due to the interaction of specular waves and diffractions, and the spectral contribution from the fault signal, which increases with fault zone complexity. These results highlight the impact of survey geometry and processing workflows on fault imaging. |
format |
Article in Journal/Newspaper |
author |
Cunningham, Jennifer Weiball, Wiktor W. Cardozo, Nestor Iacopini, David |
author_facet |
Cunningham, Jennifer Weiball, Wiktor W. Cardozo, Nestor Iacopini, David |
author_sort |
Cunningham, Jennifer |
title |
Investigating the PS seismic imaging of faults using seismic modelling and data from the Snøhvit field, Barents Sea |
title_short |
Investigating the PS seismic imaging of faults using seismic modelling and data from the Snøhvit field, Barents Sea |
title_full |
Investigating the PS seismic imaging of faults using seismic modelling and data from the Snøhvit field, Barents Sea |
title_fullStr |
Investigating the PS seismic imaging of faults using seismic modelling and data from the Snøhvit field, Barents Sea |
title_full_unstemmed |
Investigating the PS seismic imaging of faults using seismic modelling and data from the Snøhvit field, Barents Sea |
title_sort |
investigating the ps seismic imaging of faults using seismic modelling and data from the snøhvit field, barents sea |
publisher |
Geological Society of London |
publishDate |
2021 |
url |
https://dx.doi.org/10.6084/m9.figshare.c.5727552.v1 https://geolsoc.figshare.com/collections/Investigating_the_PS_seismic_imaging_of_faults_using_seismic_modelling_and_data_from_the_Sn_hvit_field_Barents_Sea/5727552/1 |
geographic |
Barents Sea |
geographic_facet |
Barents Sea |
genre |
Barents Sea Snøhvit |
genre_facet |
Barents Sea Snøhvit |
op_relation |
https://dx.doi.org/10.1144/petgeo2020-044 https://dx.doi.org/10.6084/m9.figshare.c.5727552 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.6084/m9.figshare.c.5727552.v1 https://doi.org/10.1144/petgeo2020-044 https://doi.org/10.6084/m9.figshare.c.5727552 |
_version_ |
1766370418656018432 |