Salt Dome Delineation Using Edge- and Texture-based Attributes

References

1. Amin, A. and Deriche, M.
   [2015a] A hybrid approach for salt dome detection in 2D and 3D seismic data. In: Image Processing (ICIP), 2015 IEEE International Conference on. 2537–2541.
   [Google Scholar]
2. Amin, A. and Deriche, M.
   [2015b] A new approach for salt dome detection using a 3D multidirectional edge detector. Applied Geophysics, 12(3).
   [Google Scholar]
3. Aqrawi, A.A., Boe, T.H. and Barros, S.
   [2011] Detecting salt domes using a dip guided 3D Sobel seismic attribute. In: Expanded Abstracts of the SEG 81st Annual Meeting. Society of Exploration Geophysicists, 1014–1018.
   [Google Scholar]
4. Berthelot, A., Solberg, A.H. and Gelius, L.J.
   [2013] Texture attributes for detection of salt. Journal of Applied Geophysics, 88, 52–69.
   [Google Scholar]
5. Drissi, N., Chonavel, T. and Boucher, J.
   [2008] Salient features in seismic images. In: OCEANS 2008 — MTS/IEEE Kobe Techno-Ocean. 1–4.
   [Google Scholar]
6. Fehler, M. and Keliher, P.
   [2011] SEAM Phase 1: Challenges of Subsalt Imaging in Tertiary Basins, with Emphasis on Deepwater Gulf of Mexico. Society of Exploration Geophysicists.
   [Google Scholar]
7. Guillen, P., Larrazabal, G., Gonzalez, G., Boumber, D. and Vilalta, R.
   [2015] Supervised learning to detect salt body. In: SEG Technical Program Expanded Abstracts. 1826–1829.
   [Google Scholar]
8. Halpert, A.D., Clapp, R.G. and Biondi, B.
   [2009] Seismic image segmentation with multiple attributes. In: Expanded Abstracts of the SEG 79th Annual Meeting. Society of Exploration Geophysicists, 3700–3704.
   [Google Scholar]
9. Haukas, J., Ravndal, O.R., Fotland, B.H., Bounaim, A. and Sonneland, L.
   [2013] Automated salt body extraction from seismic data using level set method. First Break, EAGE, 31.
   [Google Scholar]
10. Hegazy, T. and Al Regib, G.
    [2014] Texture attributes for detecting salt bodies in seismic data. In: Expanded Abstracts of the SEG 84th Annual Meeting. Society of Exploration Geophysicists, 1455–1459.
    [Google Scholar]
11. Kovesi, P.
    [1999] Image Features From Phase Congruency. Videre: A Journal of Computer Vision Research. MIT Press, 1(3).
    [Google Scholar]
12. Kovesi, P., Ben, R., Eun-Jung, H. and Jeffrey, S.
    [2012] Phase-Based Image Analysis of 3D Seismic Data. ASEG Extended Abstracts, 1–4.
    [Google Scholar]
13. Lomask, J., Biondi, B. and Shragge, J.
    [2004] Image segmentation for tracking salt boundaries. In: Expanded Abstracts of the SEG 74th Annual Meeting. 2443–2446.
    [Google Scholar]
14. Lomask, J., Clapp, R.G. and Biondi, B.
    [2007] Application of image segmentation to tracking 3D salt boundaries. Geophysics, 72(4), P47–P56.
    [Google Scholar]
15. Morrone, M., Ross, J., Burr, D. and Owens, R.
    [1986] Mach bands are phase dependent. Nature324, 250–253.
    [Google Scholar]
16. Qi, J., Cahoj, M., Al Ali, A., Li, L. and Marfurt, K.
    [2015] Segmentation of salt domes, mass transport complexes on 3D seismic data volumes using Kuwahara windows and multiattribute cluster analysis. In: SEG Technical Program Expanded Abstracts. 1821–1825.
    [Google Scholar]
17. Russell, B., Hampson, D. and Logel, J.
    [2010] Applying the phase congruency algorithm to seismic data slices: a carbonate case study. Reservoir Geoscience and Engineering, first break, 28, 83–90.
    [Google Scholar]
18. Shafiq, M.A., Alaudah, Y., Al Regib, G. and Deriche, M.
    [2017] Phase Congruency for Image understanding with applications in Computational Seismic Interpretation. In: The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, USA. IEEE.
    [Google Scholar]
19. Shafiq, M.A., Alshawi, T., Long, Z. and Al Regib, G.
    [2016a] SALSI: A new seismic attribute for salt dome detection. In: The 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
    [Google Scholar]
20. Shafiq, M.A., Wang, Z. and Alregib, G.
    [2015a] Seismic interpretation of migrated data Using edge-based geodesic active contours. In: Proc. IEEE Global Conf. on Signal and Information Processing (GlobalSIP), Orlando, Florida, Dec. 14–16.
    [Google Scholar]
21. Shafiq, M.A., Wang, Z., Al Regib, G., Amin, A. and Deriche, M.
    [2016b] A texture-based interpretation workflow with application to delineating salt domes. Accepted in Interpretation.
    [Google Scholar]
22. Shafiq, M.A., Wang, Z., Amin, A., Hegazy, T., Deriche, M. and Al Regib, G.
    [2015b] Detection of Saltdome Boundary Surfaces in Migrated Seismic Volumes Using Gradient of Textures. In: Expanded Abstracts of the SEG 85th Annual Meeting, New Orleans, Louisiana. 1811–1815.
    [Google Scholar]
23. Wang, Z., Hegazy, T., Long, Z. and AlRegib, G.
    [2015] Noise-robust detection and tracking of salt domes in postmigrated volumes using texture, tensors, and subspace learning. Geophysics, vol. 80(6).
    [Google Scholar]
24. Wu, X.
    [2016] Methods to compute salt likelihoods and extract salt boundaries from 3D seismic images. GEOPHYSICS, 81(6), IM119–IM126.
    [Google Scholar]
25. Zhou, J., Zhang, Y., Chen, Z. and Li, J.
    [2007] Detecting boundary of salt dome in seismic data with edge detection technique. In: Expanded Abstracts of the SEG 77th Annual Meeting. Society of Exploration Geophysicists, 1392–1396.
    [Google Scholar]