antoine@sep.stanford.edu

## ABSTRACTTwo iterative methods that handle coherent noise effects during the inversion of 2-D prestack data are tested. One method approximates the inverse covariance matrices with PEFs, and the other introduces a coherent noise modeling operator in the objective function. This noise modeling operator is a PEF that has to be estimated before the inversion from a noise model or directly from the data. These two methods lead to Independent, Identically Distributed (IID) residual variables, thus guaranteeing a stable convergence of the inversion schemes and permitting coherent noise filtering/separation. |

- Introduction
- The inverse problem
- Proposed solutions to attenuate coherent noise
- Results
- Discussion
- Conclusion
- Aknowledgments
- REFERENCES
- About this document ...

9/5/2000