Knowledge-assisted visualization of seismic data

Autor:	M. Eduard Gröller, Daniel Patel, Helwig Hauser, Øyvind Sture, Christopher Giertsen
Rok vydání:	2009
Předmět:	Human-Computer Interaction Annotation Point (typography) Computer science Interpretation (philosophy) General Engineering Data mining Seismic interpretation computer.software_genre Computer Graphics and Computer-Aided Design computer Visualization Illustrative visualization
Zdroj:	Computers & Graphics. 33:585-596
ISSN:	0097-8493
DOI:	10.1016/j.cag.2009.06.005
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8bd182df3005193534fdbe57f153f04a https://doi.org/10.1016/j.cag.2009.06.005 Zobrazit plný text záznamu Full Text from ScienceDirect