1887

Abstract

Summary

An AI fault delineation workflow based on an in-house developed network, was applied to OBS data from the Valhall Field in the Norwegian sector of the North Sea. The workflow was applied to both PP and PS volume data and the delineated faults showed good continuity and higher confidence than manual methods of interpretation. The results were also suitable for statistical and quantitative analyses and provided an increased structural understanding of the field.

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/content/papers/10.3997/2214-4609.202011073
2020-12-08
2020-09-20
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References

  1. Haller, N., Flateboe, R., Twallin, C., Dahl-Eriken, V., Heavey, P., Kjos, E., Milne, R., and Rietveld, W. E. A.
    (2016). “Valhall Case Study - Value of Seismic Technology for Reducing Risks in a Reactive Overburden”. EAGE Annual Vienna 2016.
    [Google Scholar]
  2. Kristiansen, T. G.
    (2007, December 1). Drilling Wellbore Stability in the Compacting and Subsiding Valhall Field: A Case Study. Society of Petroleum Engineers. doi:10.2118/87221‑PA
    https://doi.org/10.2118/87221-PA [Google Scholar]
  3. Lowell, J., Szafian, P., and Tessen, N.
    (2019). “Artificial Intelligence and Seismic Interpretation”. GeoExPro, Vol. 16, No. 2, 20–22.
    [Google Scholar]
  4. McArdle, N.J, Iacopini, D., KunleDare, M. A., and Paton, G. S.
    (2014), “The use of geologic expression workflows for basin scale reconnaissance: A case study from the Exmouth Subbasin, North Carnarvon Basin, northwestern Australia”. Interpretation, 2, SA163-SA177.
    [Google Scholar]
  5. Milne, R., Kommedal, J., Kjos, E., Porter, M.
    (2018). “The Evolution of 4D Monitoring at the Valhall Field, from Permanent Cables to Retrievable Nodes”. EAGE Annual Copenhagen 2018.
    [Google Scholar]
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