EAGE/SBGF Workshop on Least-Squares Migration
Least Squares Migration (LSM) is an imaging technique that can improve images obtained using traditional migration methods, minimizing the presence of artifacts, mitigating illumination effects and increasing spatial resolution.
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.
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)