1887

Abstract

Summary

We present a case study from the Hoop area of the Barents Sea, in which seismic, well log and controlled source electromagnetic (CSEM) data were integrated within a rock physics framework, to provide a robust assessment of the prospectivity of the area. Combining seismic and CSEM results can resolve the ambiguities that are present when only a single data type is considered. In this example, although seismic data identified potentially hydrocarbon bearing sands, the saturation was uncertain. In this area and at shallow depth, the main focus is on (very) high oil saturations. Adding the CSEM data in this setting allows us to distinguish between high saturations (> 70%), and low and medium saturations (< 50%): it is clear that saturations similar to those observed at the nearby Wisting well (>90%) are not present in this area. However, because of limitations on the sensitivity/recoverability of the CSEM data in this high resistivity environment, it is not possible to distinguish between low and medium saturations. This remains an uncertainty in the analysis.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201700906
2017-06-12
2020-06-03
Loading full text...

Full text loading...

References

  1. Alvarez, P., Bolivar, F., Di Luca, M. & Salinas, T.
    , 2015, Multi-attribute rotation scheme: A tool for reservoir property prediction from seismic inversion attributes, Interpretation, 3, SAE9–SAE18
    [Google Scholar]
  2. MacGregor, L.M.
    , 2012, Integrating seismic, CSEM and well log data for reservoir characterisation, The Leading Edge, March 2012, 268–277
    [Google Scholar]
  3. MacGregor, L. & Tomlinson, J.
    , 2014. Marine controlled source electromagnetic methods in the hydrocarbon industry: A tutorial on method and practice. Interpretation, 2, SH13–SH32
    [Google Scholar]
  4. Singleton, S
    , 2009, The effects of seismic data conditioning on pre-stack simultaneous impedance inversion, The Leading Edge, July 2009, 772–781
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201700906
Loading
/content/papers/10.3997/2214-4609.201700906
Loading

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