Alternative workflow for GLCM-based estimation of spatial variation in seismic data using pre-selected directions

References

1. Alkhalifah, T. and Tsvankin, I.
   [1995] Velocity analysis for transversely isotropic media.Geophysics, 60(5), 1550–1566.
   [Google Scholar]
2. Chopra, S. and Alexeev, V.
   [2006] Application of texture attribute analysis to 3D seismic data.The Leading Edge, 25 (8), 934–940.
   [Google Scholar]
3. de Matos, M.C., Yenugu, M., Angelo, S.M. and Marfurt, K.J.
   [2011] Integrated seismic texture segmentation and cluster analysis applied to channel delineation and chart reservoir characterization.Geophysics, 76(5), P11–P21.
   [Google Scholar]
4. Eichkitz, C.G., Amtmann, J. and Schreilechner, M.G.
   [2013] Calculation of grey level co-occurrence matrix-based seismic attributes in three dimensions.Computers and Geosciences, 60, 176–183.
   [Google Scholar]
5. Eichkitz, C.G., Schreilechner, M.G., de Groot, P. and Amtmann, J.
   [2015] Mapping directional variations in seismic character using GLCM-based attributes.Interpretation, 3(1), T13–T23.
   [Google Scholar]
6. Eichkitz, C.G., Amtmann, J., Schreilechner, M.G. and Schneider, S.
   [2016] Anisotropy estimation based on the grey level co-occurrence matrix (GLCM).First Break, 34(3), 83–89.
   [Google Scholar]
7. Eichkitz, C.G. and Amtmann, J.
   [2018] GLCM-based anisotropy estimation - the influence of computation parameters on the results.First Break, 36(5), 47–52.
   [Google Scholar]
8. Eichkitz, C.G. and Amtmann, J.
   [2019] Impact of grey level transformation and chosen amplitude range on GLCM-based anisotropy estimation.First Break, 37(5), 67–74.
   [Google Scholar]
9. Eichkitz, C.G., Amtmann, J. and Schreilechner, M.G.
   [2020] Computation of grey level co-occurrence matrix (GLCM) attributes in single and multiple directions.First Break, 38(3), 57–62.
   [Google Scholar]
10. Gao, D.
    [2003] Volume texture extraction for 3D seismic visualization and interpretation.Geophysics, 68(4), 1294–1302.
    [Google Scholar]
11. Gao, D.
    [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]
12. Gao, D.
    [2011] Latest developments in seismic texture analysis for subsurface structure, facies, and reservoir characterization: A review.Geophysics, 76(2), W1–W13.
    [Google Scholar]
13. Haralick, R.M., Shanmugam, K. and Dinstein, I.
    [1973] Textural features for image classification.IEEE Transactions on Systems, Man, and Cybernetics, 3(6), 610–621.
    [Google Scholar]
14. Lynn, H.B., and Thomsen, L.A.
    1990. Reflection shear-wave data collected near the principal axes of azimuthal anisotropy.Geophysics, 55(2), 147–156.
    [Google Scholar]
15. Soh, L.-K. and Tsatsoulis, C.
    [1999] Texture analysis of SAR sea ice imagery using gray level co-occurrence matrices.IEEE Transactions on Geoscience and Remote Sensing, 37(2), 780–795.
    [Google Scholar]
16. Wang, H., Guo, X.-H., Jia, Z.-W., Li, H.-K., Liang, Z.-G., Li, K.-C. and He, Q.
    [2010] Multilevel binomial logistic prediction model for malignant pulmonary nodules based on texture features of CT image.European Journal of Radiology, 74, 124–129.
    [Google Scholar]
17. West, B.P., May, S.R., Eastwood, J.E. and Rossen, C.
    [2002] Interactive seismic facies classification using textural attributes and neural networks.The Leading Edge, 21(10), 1042–1049.
    [Google Scholar]
18. Yenugu, M., Marfurt, K.J. and Matson, S.
    [2010] Seismic texture analysis for reservoir prediction and characterization.The Leading Edge, 29(9), 1116–11.
    [Google Scholar]