HR: 0800h
AN: G51B-0437    [Abstracts]
TI: Building Discrete Fracture Networks From Ground Based LiDAR Data
AU: * Wilson, C E
EM: cewilson@stanford.edu
AF: Geological and Environmental Sciences, Stanford University, Braun Hall (Geo Corner) #118 450 Serra Mall, Building 320, Stanford, CA 94305, United States
AU: Aydin, A
EM: aydin@pangea.stanford.edu
AF: Geological and Environmental Sciences, Stanford University, Braun Hall (Geo Corner) #118 450 Serra Mall, Building 320, Stanford, CA 94305, United States
AU: Karimi-Fard, M
EM: karimi@stanford.edu
AF: Energy Resource Engineering, Stanford University, Green Building, Room 065 367 Panama Street, Stanford, CA 94305, United States
AU: Sagy, A
EM: asagy@pmc.ucsc.edu
AF: Earth and Planetary Sciences, UC Santa Cruz, 1156 High St., Santa Cruz, CA 95060, United States
AU: Brodsky, E
EM: ebrodsky@es.ucsc.edu
AF: Earth and Planetary Sciences, UC Santa Cruz, 1156 High St., Santa Cruz, CA 95060, United States
AB: Simulations which employ Discrete Fracture Networks (DFN's) offer one of the most accurate methods to model the flow of fluids within fractured reservoirs/aquifers. Geometries and spacings of fractures in many DFN's are often stochastically generated using statistical distributions gathered from one- and two-dimensional data. Ground based LiDAR surveys of large fractured outcrops may improve the construction of DFN's by providing highly accurate three-dimensional (3D) measurements of fracture spacing and geometry. We have constructed a 3D DFN based upon the cross-cutting/abutting relationships of fracture sets observed in outcrop and a semi- automated method which uses differential geometry to extract fracture planes from a three-dimensional point cloud.
DE: 1209 Tectonic deformation (6924)
DE: 1294 Instruments and techniques
DE: 1295 Integrations of techniques
DE: 1625 Geomorphology and weathering (0790, 1824, 1825, 1826, 1886)
SC: Geodesy [G]
MN: 2007 Fall Meeting