HR: 16:15h
AN: U24A-02    [Abstracts]
TI: Virtual Geological Reality: Making Geospatial Models Applicable and Scientifically Memorable
AU: * Martinsen, O J
EM: ole.martinsen@hydro.com
AF: StatoilHydro Research, PO Box 7190, Bergen, 5020, Norway
AU: Thurmond, J B
EM: john.thurmond@hydro.com
AF: StatoilHydro Research, PO Box 7190, Bergen, 5020, Norway
AU: Hunt, D
EM: david.hunt@hydro.com
AF: StatoilHydro Research, PO Box 7190, Bergen, 5020, Norway
AU: Gillespie, P
EM: paul.gillespie@hydro.com
AF: StatoilHydro Research, PO Box 7190, Bergen, 5020, Norway
AU: Løseth, T M
EM: tore.loseth@hydro.com
AF: StatoilHydro Research, PO Box 7190, Bergen, 5020, Norway
AU: Thurmond, A K
EM: allison.kennedy.thurmond@hydro.com
AF: StatoilHydro Research, PO Box 7190, Bergen, 5020, Norway
AB: Interpretation of geological data by using digital, geospatial models is a revolutionary breakthrough for analysis of high-resolution outcrop data as well as regional data sets. Like other major breakthroughs in geology and geophysics, this advance has been driven by access to new technology and data sets. CAVE visualization centers, high-resolution satellite imagery and digital photography, laser scanners/LIDAR and GPS/GIS technology have driven these new methods and ideas. This presentation summarizes major developments in collecting data and interpreting geospatial models over the last decade. A basic condition for making such models and data applicable is that visualization of the data is only a lead-in to advanced geological and geophysical analysis and not an aim in itself. Aiming for utilization of the visually attractive data leads to development of new geological methods which speed up, refine and alter existing classic methods and lead to interpretations on an entirely new level. Examples will be shown where highly complex fracture systems, fault systems and bed geometries can be understood in a much refined way compared to using classic techniques. In these and other cases, uncertainties, for instance for reservoir modeling, are reduced drastically. Thus, geospatial models become scientifically memorable and not merely visually attractive.
DE: 9820 Techniques applicable in three or more fields
SC: Union [U]
MN: 2007 Fall Meeting