Elastic least-squares reverse time migration

Abstract

Least-squares migration (LSM) can produce images with improved resolution and reduced migration artifacts. We propose a method for elastic least-squares reverse time migration (LSRTM) based on a new perturbation imaging condition that yields scalar images of squared P and S velocity perturbations. These perturbation images are simply related to physical subsurface properties, and in addition, they do not suffer from polarity reversals seen with other more conventional elastic imaging methods. We use 2D examples to demonstrate the proposed LSRTM algorithm using our perturbation imaging condition. Results show that elastic LSRTM increases the image resolution and attenuates artifacts, while providing images where the relative amplitudes of the reflectors can be used for reservoir characterization. Presentation Date: Monday, October 17, 2016 Start Time: 1:25:00 PM Location: 171/173 Presentation Type: ORAL