3D SRME
Data-driven, convolution-based surface-related multiple prediction and attenuation package
SRME is a data-driven surface-related multiple prediction that uses true azimuth information to predict free-surface multiples.
SRME uses azimuth information to accurately predict complex multiple energy for both wide-azimuth and narrow-azimuth surveys, on-the-fly interpolation and regularization are utilized to ensure full coverage of all possible multiple travel paths.
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.