HR: 0830h
AN: S21F-0405    [PDF]
TI: Physical Modeling of Long-offset Seismic Data
AU: * Lin, Q
EM: qlin@uh.edu
AF: Dept. of Geoscience, University of Houston, 312 SR1, Cullen Rd, Houston, TX 77204 United States
AU: Zhou, H
EM: hzhou@uh.edu
AF: Dept. of Geoscience, University of Houston, 312 SR1, Cullen Rd, Houston, TX 77204 United States
AU: Tang, G
EM: gtang@ncat.edu
AF: Dept. of Physics, NC A\&T State University, 1601 East Market St, Greensboro, NC 27411 United States
AU: Jackson, C
EM: cjackson@ncat.edu
AF: Dept. of Physics, NC A\&T State University, 1601 East Market St, Greensboro, NC 27411 United States
AU: Burbach, G
EM: burbach@ncat.edu
AF: Dept. of Physics, NC A\&T State University, 1601 East Market St, Greensboro, NC 27411 United States
AB: Long-offset seismic data illuminates the subsurface differently than the conventional near-offset data and therefore contains additional information about the earth. To calibrate long-offset seismic acquisition and processing solution, specifically address the issues involved with long-offset imaging, a multi-layer "gradient" physical model, built by aluminum powder and clear resin, was used to examine the feasibility of modeling long offset data. The acquired data was utilized to examine the information contents of long-offset data, gain insights into the occurrence of feature waves. Different offset range of data was analyzed and migrated using reverse-time pre-stack depth migration algorithms. The results show that long-offset data provides improved illumination of the vertical impedance boundaries.
DE: 0900 EXPLORATION GEOPHYSICS
SC: Seismology [S]
MN: 2003 Fall Meeting