Automated interpretation of geological fault surfaces imaged in 3D seismic data

Petroleum Geology Conference Proceedings

Volumn 6, Issue 0, 2005, Pages 1557-1563

  Gibson, D ^a   Turner, J P ^a   Spann, M S ^a   Wright, T D ^a  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

3D seismic data; Automatic interpretation; Coherency; Computer vision; Geological faults; Seismic interpretation; Structural geology

Indexed keywords

EID: 80052543209     PISSN: 20479921     EISSN: None     Source Type: Book Series    
DOI: 10.1144/0061557     Document Type: Conference Paper

References (7)

1. Aurnhammer, M., (2003). Model-Based Image Analysis for Automated Horizon Correlation Across Faults in Seismic Data. Fortschritt- Berichte, VDI Reihe 10 (Informatik/Kommunikation), No. 726, Dusseldorf.
2. Bois, P. 1984. Fuzzy seismic interpretation. IEEE Transactions on Geoscience and Remote Sensing, 22, 692-697.
3. Bois, P. & Porte, M. L. 1970. Pointe automatique. Geophysical Prospecting, 18, 489-504.
4. Cowie, P. A. & Scholz, C. H. 1992. Displacement-length scaling relationship for faults: Data synthesis and discussion. Journal of Structural Geology, 14, 1149-1156. (Pubitemid 23387552)
5. Fehmers, G., (1999). Anisotropic Diffusion in Seismic Images - the Van Gogh Filter. Shell International Exploration & Production report.
6. Peacock, D. C. P. 2002. Propagation, interaction and linkage in normal fault systems. Earth Science Reviews, 58, 121-142. (Pubitemid 34763357)
7. Walsh, J. J. & Watterson, J. 1991. Geometric and kinematic coherence and scale effects in normal fault systems. In: Roberts, A. M., Yielding, G. & Freeman, B. (eds) The Geometry of Normal Faults. Geological Society, London, Special Publications, 56, 193-203.