SWME

Shallow Water Multiple Elimination (SWME)

SWME is a data driven prediction approach using true azimuth information to predict free surface multiples in shallow water environments.

SWME is a modeling-based approach that is typically used in shallow water environments where conventional SRME methodology starts to break down due to sparse / missing near offset information.

3D ray tracing is used to derive a Green’s function of the water bottom and to reconstruct missing offset information. The Green’s function is then convolved with the recorded seismic data to generate source and receiver-side multiple models that are fed into an adaptive subtraction algorithm.

A variety of advanced adaptive subtraction algorithms are available, including least squares multidomain and curvelet subtraction, to subtract the predicted multiple model from the input dataset.

 

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Near Cable Input Shots
Near Cable: Source Side SWME Model
Near Cable
Near Cable: Input Shots


Example Set 2:

Near Cable Receiver Side SWME Model Near Cable: Receiver Side SWME Model

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Far Cable Source Side SWME Model
Far Cable: Source Side SWME Model
Far Cable
Far Cable: Input Shots
Far Cable Receiver Side SWME Model Far Cable: Receiver Side SWME Model

3D SRME

Data-driven, convolution-based surface-related multiple prediction and attenuation package

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