Usage
  • 257 views
  • 1123 downloads

Applications of Reverse-time Migration

  • Author / Creator
    Ferner, Robert M
  • In a reflection seismic experiment, a controlled source function injects energy into the Earth. This causes the subsurface to undergo elastic deformation referred to as seismic wave propagation. Contrasts in the elastic properties of the propagation medium create interfaces which scatter the seismic wave-field. Scattered source energy is recorded at the Earth's surface as seismic data, these recordings indirectly contain information of subsurface scattering locations. Seismic imaging or migration is an inverse scattering problem which aims to produce structural images of the subsurface from seismic data.

    Formulations of finite-difference solutions to the elastic wave-equation are well documented in geophysical literature. These finite-difference solutions model seismic wave propagation within a medium on a discrete grid. A major application of this is the seismic imaging technique known as reverse-time migration. This thesis will outline practical applications of elastic staggered-grid finite-difference modelling and the reverse-time migration algorithm.

  • Subjects / Keywords
  • Graduation date
    Fall 2015
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3H70879Q
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
  • Specialization
    • Geophysics
  • Supervisor / co-supervisor and their department(s)
  • Examining committee members and their departments
    • Dmitri Pogosyan (Physics)
    • Mauricio Sacchi (Physics)
    • Jeffrey Gu (Physics)
    • Vadim Kravchinsky (Physics)