Seismic Volume Visualization for Horizon Extraction

Daniel Patel, Stefan Bruckner, Ivan Viola, Meister Eduard Gröller

INPROCEEDINGS, Proceedings of the IEEE Pacific Visualization Symposium 2010, March, 2010

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Abstract

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 gradientfree 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.

Published

Proceedings of the IEEE Pacific Visualization Symposium 2010

• Pages: 73–80
• Location: Taipei, Taiwan
• Date: March 2010
• Project: GeoIllustrator, Illustrative Visualization
• URL: http://www.cg.tuwien.ac.at/research/publications/2010/patel-2010-SVV/

Media

BibTeX

@inproceedings{patel10horizontExtraction,
  title = "Seismic Volume Visualization for Horizon Extraction",
  author = "Daniel Patel and Stefan Bruckner and Ivan Viola and Meister Eduard Gr{\"o}ller",
  year = "2010",
  booktitle = {Proceedings of the IEEE Pacific Visualization Symposium 2010},
  abstract = "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 gradientfree 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.",
  pages = {73--80},
  month = {March},
  location = {Taipei, Taiwan},


  URL = {http://www.cg.tuwien.ac.at/research/publications/2010/patel-2010-SVV/},

}