A new integrated workflow for generation of AVO feasibility maps to be used in prospect de-risking is presented. We demonstrate the workflow on data from the Barents Sea. The methodology enables rapid extrapolation of expected rock physics properties away from well control, along selected horizon, constrained by seismic velocity information, geological inputs (basin modelling, seismic stratigraphy and facies maps) and rock physics depth trend analysis. The workflow should allow for more rapid, seamless and geologically consistent DHI de-risking of prospects in areas with complex geology and tectonic influence. The AVO feasibility maps can furthermore be utilized to generate non-stationary training data for AVO classification.


Article metrics loading...

Loading full text...

Full text loading...


  1. Avseth, P., Dræge, A., van Wijngaarden, A-J., Johansen, T., and Jørstad, A.
    [2008]. Shale rock physics and implications for AVO analysis: A North Sea demonstration;The Leading Edge, 27, 697–824.
    [Google Scholar]
  2. Avseth, P., and Lehocki, I.
    [2016]. Combining burial history and rock-physics modeling to constrain AVO analysis during exploration;The Leading Edge, 35, 528–534.
    [Google Scholar]
  3. Avseth, P., Lehocki, I., Kjøsnes, Ø., and Sandstad, O.
    [2019]. Data-Driven Rock Physics Analysis of North Sea Tertiary Reservoir Sands;EAGE Extended Abstract.
    [Google Scholar]
  4. Dræge, A., Jakobsen, M., and Johansen, T.
    [2006]. Rock physics modelling of shale diagenesis;Petroleum Geoscience, 12, 49–57.
    [Google Scholar]
  5. Gatemann, H., and Avseth, P.
    [2016]. Net uplift estimation using both sandstone modeling and shale trends, on the Horda Platform area in the Norwegian North Sea; SEG Extended Abstract.
    [Google Scholar]
  6. Hjelstuen, B.O., Elverhøi, A., and Faleide, J.I.
    [1996]. Cenozoic erosion and sediment yield in the drainage area of the Storfjorden Fan. In Solheim, A.,Riis, F., Elverhoi, A., Faleide, J.I., Jensen, L.N., and Cloetingh, S. (Eds.), Impact of Glaciations on Basin Evolution: Data and Models from the Norwegian Margin and Adjacent Areas. Global Planet. Change, 12:95–117.
    [Google Scholar]
  7. Japsen, P.
    [1999]. Overpressured Cenozoic shale mapped from velocity anomalies relative to a baseline for marine shale, North Sea;Petroleum Geoscience, 5, 321–336.
    [Google Scholar]
  8. Johansen, N.
    [2016]. Regional net erosion estimations and implications for seismic AVO signatures in the western Barents Sea;Unpublished Master Thesis, NTNU, Trondheim, Norway.
    [Google Scholar]
  9. Lehocki, I., Avseth, P., and Mondol, N.
    [2020]. Seismic methods for fluid discrimination in areas with complex geological history-a case example from the Barents Sea;Interpretation, Accepted for publication.
    [Google Scholar]
  10. Walderhaug, O.
    [1996]. Kinetic Modeling of Quartz Cementation and Porosity Loss in Deeply Buried Sandstone Reservoirs;AAPG Bulletin, 80, 731–745.
    [Google Scholar]

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error