1887

Abstract

Summary

The grey level co-occurrence matrix (GLCM) is a measure of the texture of an image. It describes how often different combinations of pixel brightness values occur in an image. Based on this, several textural attributes can be calculated. These directional attributes can be used to determine isotropic and anisotropic areas. In anisotropic areas the information of directional GLCM-based attributes can be used for the estimation of fracture intensity, as well as for the determination of strike and dip of fractures.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201412610
2015-06-01
2020-07-05
Loading full text...

Full text loading...

References

  1. Chopra, S., Alexeev, V.
    [2006] Application of texture attribute analysis to 3D seismic data. The Leading Edge, 25(8), 934–940.
    [Google Scholar]
  2. De Matos, M.C., Yenugu, M., Angelo, S.M., Marfurt, K.J.
    [2011] Integrated seismic texure segmentation and cluster analysis applied to channel delineation and chert reservoir characterization. Geophysics, 76(5), P11–P21.
    [Google Scholar]
  3. Eichkitz, C.G., Amtmann, J., Schreilechner, M.G.
    [2012] Facies Characterization by Seismic Texture Analysis Using Grey Level Co-occurrence Matrix Based Attributes. 74th EAGE Conference & Exhibition, Copenhagen.
    [Google Scholar]
  4. [2013] Calculation of grey level co-occurrence matrix-based seismic attributes in three dimensions. Computers and Geosciences, 60, 176–183.
    [Google Scholar]
  5. [2014a]. Application of GLCM-based seismic attributes for anisotropy detection. 76th EAGE Conference & Exhibition, Amsterdam, Netherlands.
    [Google Scholar]
  6. Eichkitz, C.G., de Groot, P., Brouwer, F.
    [2014b] Visualizing anisotropy in seismic facies using stratigraphically constrained, multi-directional texture attribute analysis. AAPG Hedberg Research Conference “Interpretation Visualization in the Petroleum Industry”, Houston, USA.
    [Google Scholar]
  7. Eichkitz, C.G., Schreilechner, M.G., de Groot, P., Amtmann, J.
    [2015] Mapping directional variations in seismic character using GLCM-based attributes. Interpretation, 3(1).
    [Google Scholar]
  8. Gao, D.
    [2003] Volume texture extraction for 3D seismic visualization and interpretation. Geophysics, 68(4), 1294–1302.
    [Google Scholar]
  9. [2007] Application of three-dimensional seismic texture analysis with special reference to deep-marine facies discrimination and interpretation: Offshore Angola, West Africa. AAPG Bulletin, 91(12), 1665–1683.
    [Google Scholar]
  10. [2009] 3D seismic volume visualization and interpretation: An integrated workflow with case studies. Geophysics, 74(1), W1–W24.
    [Google Scholar]
  11. [2011] Latest developments in seismic texture analysis for subsurface structure, facies, and reservoir characterization: A review. Geophysics76(2), W1–W13.
    [Google Scholar]
  12. Haralick, R.M., Shanmugam, K., Dinstein, I.
    [1973] Textural features for image classification. IEEE Transactions on systems, man, and cybernetics, 3(6), 610–621.
    [Google Scholar]
  13. Vinther, R., Mosegaar, K., Kierkegaard, K., Abatzi, I., Andersen, C., Vejbaek, O.V., If, F., Nielsen, P.H.
    [1996] Seismic texture classification: A computer-aided approach to stratigraphiuc analysis. 65th SEG meeting, Houston, Texas, USA, 153–155.
    [Google Scholar]
  14. West, B.P., May, S.R., Eastwood, J.E., Rossen, C.
    [2002] Interactive seismic facies classification using textural attributes and neural networks. The Leading Edge, 21(10), 1042–1049.
    [Google Scholar]
  15. Yenugu, M., Marfurt, K.J., Matson, S.
    [2010] Seismic texture analysis for reservoir prediction and characterization. The Leading Edge, 29(9), 1116–11.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201412610
Loading
/content/papers/10.3997/2214-4609.201412610
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