Abstract
We present a new least -squares migration method called least-squares wavepath migration (LSWM) or Objective Function Migration with Wavepath. The proposed method combines an iterative conjugate gradient solver with a stationary-phase wave path migration operator. Numerical tests demonstrate that (a) LSWM is computationally more efficient than and almost as accurate as Kirchhoff least-squares migration, and (b) many of the artifacts seen in wavepath migration images are suppressed after several conjugate gradient iterations. Previous results showed that 3-D wavepath migration is up to 100 times as fast as a standard 3-D Kirchhoff migration, but sometimes at the cost of reduced quality. With the proposed LSWM method, the image quality in wavepath migration can be improved at an acceptable increase in computational cost.
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