Multiple elimination remains one of the key challenges in seismic data processing. Data-driven multiple prediction schemes, such as Surface-related Multiple Elimination (SRME) and Interbed Multiple elimination (IME), have proven to be effective methods to remove complex multiples from the data because they do not make use of any a priori information about the subsurface geology. However, great care must be taken in the prediction and subtraction stages. This paper discusses some of the current best practices and recent experiences. Using the most accurate multiple prediction schemes, excellent results can be obtained using standard subtraction implementations. Sophisticated adaptive subtraction schemes that utilize improved separation of multiples and primaries using different mathematical domains, and / or user-constrained adaptive subtraction schemes may provide the means to improve results further.
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Advanced Multiple Elimination: A Matter of Accurate Prediction And Careful Subtraction
Paper presented at the 2008 SEG Annual Meeting, Las Vegas, Nevada, November 2008.
Paper Number:
SEG-2008-3632
Published:
November 09 2008
Citation
van Borselen, Roald, Hegge, Rob, and Peter Aaron. "Advanced Multiple Elimination: A Matter of Accurate Prediction And Careful Subtraction." Paper presented at the 2008 SEG Annual Meeting, Las Vegas, Nevada, November 2008.
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