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(t-x) domain, pattern-based multiple separation

Robert G. Clapp and Morgan Brown

bob@sep.Stanford.EDU, morgan@sep.Stanford.EDU

ABSTRACT

Pattern-based signal/noise separation is a common technique to suppress multiples. It can be formulated in the t-x domain using non-stationary Prediction Error Filters (PEF). One can obtain a kinematically correct model of the multiples by downward continuation. The CMP gather and the corresponding multiple estimate are characterized by a space varying PEF. After applying a simple separation technique one can obtain CMP gathers where the multiple energy is significantly attenuated. The method is applied to synthetic and 2-D field CMP gathers.

Introduction
METHODOLOGY
- Signal to noise separation
- Filter estimation
Example
- Synthetic example
- Real data
Problems
CONCLUSIONS
ACKNOWLEDGMENTS
REFERENCES
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Stanford Exploration Project
4/27/2000