This optimization technique aims to minimize a functional, using an iterative approach. LSM can be based in either pre- or post-stack imaging methods, with functionals defined either in the data or image domains. This host of possibilities makes LSM a flexible methodology for many geophysical applications. 

Key Benefits of LSM

  • Corrects for wavefield distortions caused by acquisition and propagation effects
  • Improves amplitude fidelity and spatial resolution in the most complex geological settings
  • Removes shadow zones below salt and footprint effects
  • Improves wavenumber content and the imaging of steep geological contacts and faults at all depths
  • Dramatically improves interpretation of subtle stratigraphic features

PGS has gathered considerable experience in LSM and is a cosponsor of this event.

Technical Program

Tuesday, 27 November

14:00 – 14:25 
Multiples in LSM 1: Least Squares Migration Beyond Primaries
Nizar Chemingui* (PGS), F. Liu (PGS) and S. Lu (PGS)

Wednesday, 28 November

9:20 – 10:00
Keynote Speech – Nizar Chemengui (PGS)

16:45 – 17:10 
Case Study: Iterative Least-Squares Migration in Practice, Application to a Narrow Azimuth North Sea Dataset,
Øystein Korsmo* (PGS) and A. A. Valenciano (PGS)