The Community for Technology Leaders
Visualization Symposium, IEEE Pacific (2010)
Taipei Taiwan
Mar. 2, 2010 to Mar. 5, 2010
ISBN: 978-1-4244-6685-6
pp: 73-80
Daniel Patel , Christian Michelsen Research, Bergen, Norway
Stefan Bruckner , Institute of Computer Graphics and Algorithms, Vienna University of Technology, Austria
Ivan Viola , Department of Informatics, University of Bergen, Norway
Eduard M. Groller , Institute of Computer Graphics and Algorithms, Vienna University of Technology, Austria
Seismic horizons indicate change in rock properties and are central in geoscience interpretation. Traditional interpretation systems involve time consuming and repetitive manual volumetric seeding for horizon growing. We present a novel system for rapidly interpreting and visualizing seismic volumetric data. First we extract horizon surface-parts by preprocessing the seismic data. Then during interaction the user can assemble in realtime the horizon parts into horizons. Traditional interpretation systems use gradient-based illumination models in the rendering of the seismic volume and polygon rendering of horizon surfaces. We employ realtime gradient-free forward-scattering in the rendering of seismic volumes yielding results similar to high-quality global illumination. We use an implicit surface representation of horizons allowing for a seamless integration of horizon rendering and volume rendering. We present a collection of novel techniques constituting an interpretation and visualization system highly tailored to seismic data interpretation.
Data visualization, Lighting, Fault diagnosis, Computer graphics, Data mining, Assembly, Hydrocarbons, Acoustic reflection, Reservoirs, Informatics

D. Patel, S. Bruckner, I. Viola and E. M. Groller, "Seismic volume visualization for horizon extraction," 2010 IEEE Pacific Visualization Symposium (PacificVis 2010)(PACIFICVIS), Taipei, 2010, pp. 73-80.
88 ms
(Ver 3.3 (11022016))