Knowledge-assisted visualization of seismic data

Daniel Patel, Øyvind Sture, Helwig Hauser, Christopher Giertsen, M. Eduard Gröller

ARTICLE, Computers & Graphics, 2009

• www

Abstract

We present novel techniques for knowledge-assisted annotation and computer-assisted interpretation of seismic data for oil and gas exploration. We describe the existing procedure for oil and gas search which consists of manually extracting information from seismic data and then aggregating it into knowledge in a detail-oriented bottom-up approach. We then point out the weaknesses of this approach and propose how to improve on it by introducing a holistic computer-assisted top-down approach intended as a preparation step enabling a quicker, more focused and accurate bottom-up interpretation. The top-down approach also enables early representations of hypotheses and knowledge using domain-specific textures for annotating the data. Finally we discuss how these annotations can be extended to 3D for volumetric annotations.

Published

Computers & Graphics

• Volume: 33
• Number: 5
• Pages: 585–596
• URL: http://dx.doi.org/10.1016/j.cag.2009.06.005

Media

BibTeX

@article{patel09knowledge,
title = {Knowledge-assisted visualization of seismic data},
author = {Daniel Patel and {\O}yvind Sture and Helwig Hauser and Christopher Giertsen and M. Eduard Gr{\"o}ller},
journal = {Computers \& Graphics},
volume = "33",
number = "5",
pages = "585--596",
year = "2009",
abstract = {We present novel techniques for knowledge-assisted annotation and computer-assisted 
	interpretation of seismic data for oil and gas exploration. We describe the existing procedure 
	for oil and gas search which consists of manually extracting information from seismic data and 
	then aggregating it into knowledge in a detail-oriented bottom-up approach. We then point out 
	the weaknesses of this approach and propose how to improve on it by introducing a holistic 
	computer-assisted top-down approach intended as a preparation step enabling a quicker, more 
	focused and accurate bottom-up interpretation. The top-down approach also enables early 
	representations of hypotheses and knowledge using domain-specific textures for annotating the 
	data. Finally we discuss how these annotations can be extended to 3D for volumetric annotations.},
  URL = {http://dx.doi.org/10.1016/j.cag.2009.06.005},


}