HR: 0800h
AN: S41A-0246    [Abstracts]
TI: The Virtual Seismic Atlas Project: sharing the interpretation of seismic data
AU: * Butler, R
EM: butler@earth.leeds.ac.uk
AF: University of Leeds, School of Earth and Environment, Leeds, LS29JT, United Kingdom
AU: Mortimer, E
EM: e.j.mortimer@leeds.ac.uk
AF: University of Leeds, School of Earth and Environment, Leeds, LS29JT, United Kingdom
AU: McCaffrey, B
EM: wdm@earth.leeds.ac.uk
AF: University of Leeds, School of Earth and Environment, Leeds, LS29JT, United Kingdom
AU: Stuart, G
EM: g.stuart@earth.leeds.ac.uk
AF: University of Leeds, School of Earth and Environment, Leeds, LS29JT, United Kingdom
AU: Sizer, M
EM: eems@leeds.ac.uk
AF: University of Leeds, School of Earth and Environment, Leeds, LS29JT, United Kingdom
AU: Clayton, S
EM: sam.clayton@bhpbilliton.com
AF: BHP Billiton (Americas), 1360 Post Oak Boulevard, Houston, Tx 77056, United States
AB: Through the activities of academic research programs, national institutions and corporations, especially oil and gas companies, there is a substantial volume of seismic reflection data. Although the majority is proprietary and confidential, there are significant volumes of data that are potentially within the public domain and available for research. Yet the community is poorly connected to these data and consequently geological and other research using seismic reflection data is limited to very few groups of researchers. This is about to change. The Virtual Seismic Atlas (VSA) is generating an independent, free-to-use, community based internet resource that captures and shares the geological interpretation of seismic data globally. Images and associated documents are explicitly indexed using not only existing survey and geographical data but also on the geology they portray. By using "Guided Navigation" to search, discover and retrieve images, users are exposed to arrays of geological analogues that provide novel insights and opportunities for research and education. The VSA goes live, with evolving content and functionality, through 2008. There are opportunities for designed integration with other global data programs in the earth sciences.
UR: http://www.seismicatlas.org
DE: 0530 Data presentation and visualization
DE: 0845 Instructional tools
DE: 0935 Seismic methods (3025, 7294)
DE: 1734 Seismology
DE: 1869 Stochastic hydrology
SC: Seismology [S]
MN: 2007 Fall Meeting