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.
Example Set 2:
Far Cable Shot QCs
Recent Technical Papers
Data-driven, convolution-based surface-related multiple prediction and attenuation packageLearn More