EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Investigating the seismic imaging of faults using PS data from the Snøhvit field, Barents Sea, and forward seismic modelling 

Jennifer Cunningham1,3, Wiktor Weibull1, Nestor Cardozo1, and David Iacopini2
Jennifer Cunningham et al.
  • 1Department of Energy Resources, University of Stavanger, 4036 Stavanger, Norway
  • 2DISTAR, Universita’ degli Studi di Napoli Federico II
  • 3Equinor ASA, Stavanger Norway

PS seismic data from the Snøhvit field are compared with forward seismic modelling to understand the effect of azimuthal separation and incidence angle on the imaging of faults. Two faults, one oriented oblique to the survey and one approximately parallel to the survey were chosen. Azimuthally separated W (source is W relative to receivers) and E (source E relative to receivers) data demonstrate that fault imaging is more affected by azimuth when the faults are oblique to the survey orientation, and W data image the faults better. Partial stack data show that with increasing incidence angle there is a systematic improvement in the quality of fault imaging in both the E and W data. In addition, the frequency content of seismic waves back-scattered from within and around fault zones is analysed in the Snøhvit data. Low-medium frequencies are dominant within fault zones, compared with higher frequencies in adjacent areas and haloes of medium frequencies surrounding the faults. Two synthetic experiments support the azimuth, incidence angle and frequency observations. In the first experiment, the fault is modelled as a planar discontinuity and the data were processed in the same way as the Snøhvit data (into separate azimuths and incidence angle stacks). The first experiment confirms a strengthening in the seismic signal from faults in the W data. This is due to the interaction of specular waves and diffractions which are more abundant in the W data. The second experiment had three parts modelling the fault zone with different layering complexity. It proved that frequencies in the fault and adjacent areas increase with fault zone complexity, and that the internal architecture of faults can impact the frequencies in the data adjacent to faults. 

How to cite: Cunningham, J., Weibull, W., Cardozo, N., and Iacopini, D.: Investigating the seismic imaging of faults using PS data from the Snøhvit field, Barents Sea, and forward seismic modelling , EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-16322,, 2021.


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