Horizon picking in 3D seismic images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2749, Issue , 2003, Pages 216-222

  Faraklioti, Maria ^a   Petrou, Maria ^a,b  

^a UNIVERSITY OF SURREY   (United Kingdom)

^b INFORMATION TECHNOLOGIES INSTITUTE   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; SEISMIC WAVES;

3D SEISMIC; 3D SEISMIC DATA; AT FAULTS; NORMAL VECTOR; SURFACE DETECTION;

SEISMOLOGY;

EID: 35248856573     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45103-x_30     Document Type: Article

References (10)

1. I. Bondar. Seismic horizon detection using image processing algorithms. Geophysical Prospecting, 40:785-800, 1992.
2. N. Keskes, A. Boulanouar, and O. Faugeras. Application of image analysis techniques to seismic data. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, pages 855-858, 1982.
3. N. Keskes, P. Zaccagnino, D. Rether, and P. Mermey. Automatic extraction of 3-D seismic horizons. In Society of Exploration Geophysicists(SEG), Annual Meeting Expanded Abstracts, pages 557-559, 1983.
4. P. Lavest and Y. Chipot. Building complex horizons for 3-D seismic. In Society of Exploration Geophysicists(SEG), Annual Meeting Expanded Abstracts, pages 159-161, 1993.
5. C. S. Maroni, A. Quinquis, and S. Vinson. Horizon picking on subbottom profiles using multiresolution analysis. Digital Signal Processing, 11:269-287, 2001.
6. M. Petrou. Optimal convolution filters and an algorithm for the detection of wide linear features. IEE Proceedings, 140:331-339, 1993.
7. S. Pieper and T. Berlage. Enhancing volume visualization of 3-D seismic data by exploitation of 3-D texture features. In 64th European Association of Geoscientists and Engineers(EAGE) Annual Conference and Exhibition, 2002.
8. I. Pitas and C. Kotropoulos. A texture-based approach to the segmentation of seismic images. Pattern Recognition, 25:929-945, 1992.
9. I. Pitas and A.N. Venetsanopoulos. AGIS: An expert system for automated geophysical interpretation of seismic images. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, pages 2256-2259, 1987.
10. V. Roberto, A. Peron, and P.L. Fumis. Low-level processing techniques in geophysical image interpretation. Pattern Recognition Letters, 10:111-122, 1989.