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)