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.

Example Set 1:

Move the Slider Left or Right to see before and after

Got it
Shot Gather Input to SRME2
Shot Gather Output to SRME
Shot Gather Input to SRME
Shot Gather Input to SRME

Example Set 2:

Move the Slider Left or Right
to Visualize the Images

Got it
Stack output to SMRE
Stack output from SRME
Stack input to SMRE
Stack input to SRME