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Seismic Volume Visualization for Horizon Extraction

D. Patel, S. Bruckner, I. Viola, and M. E. Gröller

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.

D. Patel, S. Bruckner, I. Viola, and M. E. Gröller, "Seismic Volume Visualization for Horizon Extraction," in Proceedings of IEEE Pacific Visualization 2010, 2010, p. 73–80. doi:10.1109/PACIFICVIS.2010.5429605
[BibTeX]

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.
@INPROCEEDINGS {Patel-2010-SVV,
author = "Daniel Patel and Stefan Bruckner and Ivan Viola and Meister Eduard Gr{\"o}ller",
title = "Seismic Volume Visualization for Horizon Extraction",
booktitle = "Proceedings of IEEE Pacific Visualization 2010",
year = "2010",
pages = "73--80",
month = "mar",
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.",
pdf = "pdfs/Patel-2010-SVV.pdf",
images = "images/Patel-2010-SVV.jpg",
thumbnails = "images/Patel-2010-SVV.png",
youtube = "https://www.youtube.com/watch?v=YXg4LZsTQdc",
doi = "10.1109/PACIFICVIS.2010.5429605",
keywords = "volume visualization, horizon extraction, seismic data",
location = "Taipei, Taiwan",
project = "geoillustrator,illvis",
url = "//www.cg.tuwien.ac.at/research/publications/2010/patel-2010-SVV/"
}
projectidgeoillustrator,illvisprojectid

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