1887
Volume 53, Issue 4
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

The semi‐automated detection of objects has been quite successful in detecting various types of seismic object, such as chimneys. The same technique can be applied successfully to detect faults in 3D seismic data. We show that several different attributes – among others, similarity, frequency and curvature, all of which potentially enhance the visibility of faults – can be combined successfully by an artificial neural network. This results in a fault ‘probability’ cube in which faults are more continuous and noise is suppressed compared with single‐attribute cubes. It is believed that the fault‐cube can be improved further by applying image‐processing techniques to enhance the fault prediction.

Loading

Article metrics loading...

/content/journals/10.1111/j.1365-2478.2005.00489.x
2005-06-24
2024-03-29
Loading full text...

Full text loading...

References

  1. BahorichM. and FarmerS.1995. 3‐D seismic discontinuity for faults and stratigraphic features: the coherence cube. The Leading Edge14, 1053–1058.
    [Google Scholar]
  2. CannyJ.1986. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence8, 679–698.
    [Google Scholar]
  3. De GrootP.F.M.1999. Seismic reservoir characterisation using artificial neural networks. 19th Mintrop‐Seminar, Münster , Germany .
  4. HegglandR., MeldahlP., BrilA.H. and De GrootP.F.M. 1999. The chimney cube, an example of semi‐automated detection of seismic objects by directive attributes and neural networks: Part II; interpretation. 69th SEG meeting, Houston, USA, Expanded Abstracts, 935–937.
  5. MarfurtK.J., KirlinR.L., FarmerS.L. and BahorichM.S.1998. 3‐D seismic attributes using a semblance‐based coherency algorithm. Geophysics63, 1150–1165.
    [Google Scholar]
  6. MeldahlP., HegglandR., BrilA.H. and De GrootP.F.M.1999. The chimney cube, an example of semi‐automated detection of seismic objects by directive attributes and neural networks: Part I; methodology. 69th SEG meeting, Houston, USA, Expanded Abstracts, 931–934.
  7. RobertsA.2001. Curvature attributes and their application to 3D interpreted horizons. First Break19, 85–100.
    [Google Scholar]
  8. De RooijM. and TingdahlK.M.2002. Meta‐attributes – the key to multivolume, multi‐attribute interpretation. The Leading Edge21, 1050–1053.
    [Google Scholar]
  9. TingdahlK.M.1999. Improving seismic detectability using intrinsic directionality . Paper B194, Earth Sciences Centre , Göteborg University .
    [Google Scholar]
  10. TingdahlK.M., BrilA.H. and De GrootP.F.M.2001. Improving seismic chimney detection using directional attributes. Journal of Petroleum Science and Engineering29, 205–211.
    [Google Scholar]
  11. TingdahlK.M. and De GrootP.F.M.2003. Post‐stack dip‐ and azimuth processing. Journal of Seismic Exploration12, 113–126.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.1111/j.1365-2478.2005.00489.x
Loading
/content/journals/10.1111/j.1365-2478.2005.00489.x
Loading

Data & Media loading...

  • Article Type: Research Article

Most Cited This Month Most Cited RSS feed

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