1887

Abstract

Summary

This study demonstrates the possibility of using seismic attributes for texture detection and leakage risk assessment in mud-rich seal units. Single attributes are insufficient to generate comprehensive insights to leakage risk. The proposed multiple attribute approach significantly increases seal characterisation efficiency by taking into account several important factors which increase leakage risk, and also using conditioning attributes as a platform for the calculation of other attributes. In addition, seismically-derived risk attribute (so-called Seal Risk Factor “SRF”) showed robust correspondence to the lithologies within the seismic volume. High seismic SRFs were often a good approximation for volumes containing a higher percentage of coarser-grained and distorted sediments, and vice versa. We believe that this is the first attempt at quantitative 3D seal risk characterisation in mud-rich sediments. Its application on modern seismic surveys can save days of processing/mapping time and can reduce exploration risk by basing decisions on seal texture and their proven link to leakage elements.

Our approach has been applied to regional seals in a case study from West Africa.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.20140031
2014-04-06
2024-03-29
Loading full text...

Full text loading...

References

  1. Chopra, S. and Marfurt, K.J.
    [2005] Seismic attributes: a new historical perspective. Geophysics, 70(4), 3SO–28SO.
    [Google Scholar]
  2. Gao, D.
    [2003] Volume texture extraction for 3D seismic visualization and interpretation. Geophysics, 68, 1294–1302.
    [Google Scholar]
  3. [2004] Texture model regression for effective feature discrimination: application to seismic facies visualization and interpretation. Geophysics, 69, 958–967.
    [Google Scholar]
  4. Love, P.L. and Simaan, M.
    [1984] Segmentation of stacked seismic data by the classification of image texture. 54th SEG Annual International Meeting, Session S7.3.
    [Google Scholar]
  5. Meldahl, P., Heggland, R., Bril, B. and de Groot, P.
    [2001] Identifying faults and gas chimneys using multiattributes and neural networks. The Leading Edge, 20, 474–482.
    [Google Scholar]
  6. Randen, T., Monsen, E., Signer, C., Abrahamsen, A., Hansen, J., Saeter, T. and Schlaf, J.
    [2000] Three-dimensional texture attributes for seismic data analysis. 70th SEG Annual Meeting, Expanded Abstracts, 668–671.
    [Google Scholar]
  7. Russell, B., Hampson, D., Schuelke, J. and Quirein, J.
    [1997] Multiattribute seismic analysis. The Leading Edge, 16, 1439–1443.
    [Google Scholar]
  8. Sangree, J.B. and Widmier, J.M.
    [1977] Seismic interpretation of clastic depositional facies. American Association of Petroleum Geologist Memoire, 26, 165–184.
    [Google Scholar]
  9. Vinther, R.
    [1997] Seismic texture classification applied to processed 2D and 3D seismic data. 67th SEG Annual International Meeting, Expanded Abstracts, 721–724.
    [Google Scholar]
  10. Vinther, R., Mosegaard, K., Kierkegaard, K., Abatzis, I., Andersen, C. and if, F.
    [1995] Seismic texture classification: a computer-aided approach to stratigraphic analysis. 65th SEG Annual International Meeting, Expanded Abstracts, 153–155.
    [Google Scholar]
  11. West, B., May, S., Eastwood, J.E. and Rossen, C.
    [2002] Interactive seismic facies classification using textural attributes and neural networks. The Leading Edge, 21, 1042–1049.
    [Google Scholar]
  12. Whitehead, P., Fairborn, J. and Wentland, R.
    [1999] Identifying stratigraphic units by seismic patterns. 69th SEG Annual International Meeting, Expanded Abstracts, 942–945.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20140031
Loading
/content/papers/10.3997/2214-4609.20140031
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