Six Source, Three Vessel Deblending Effects on Imaging of Real World Long Offset OBN Data

2020 
Summary Deblending is a process that removes noise and crosstalk from the imaged volume, but significant care must be taken to leave signal content unharmed when determining the distribution of recorded energy onto the output traces. This paper investigates the effects of multiple methods of deblending, including an iterative denoise approach and a hybrid approach utilizing inversion methods and iterative denoise methods, on long offset sparse node data in both time and RTM image domain.
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