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Linear demultiple solution based on the concept of bottom‐multiple‐generator (BMG) approxiamtion: some new results
Author(s) -
Oladeinde Abiola O.,
Ikelle Luc T.
Publication year - 2006
Publication title -
geophysical prospecting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.735
H-Index - 79
eISSN - 1365-2478
pISSN - 0016-8025
DOI - 10.1111/j.1365-2478.2006.00542.x
Subject(s) - multiple , generator (circuit theory) , geology , offset (computer science) , regional geology , environmental geology , convolution (computer science) , computer science , algorithm , metamorphic petrology , computational science , mineralogy , seismology , mathematics , physics , artificial intelligence , arithmetic , power (physics) , quantum mechanics , artificial neural network , tectonics , programming language
Recent advances in the demultiple technique have shown that a multidimensional convolution of a portion of data containing only primaries with the whole data (containing both primaries and multiples) can allow us to predict and attenuate all orders of free‐surface multiples that are relevant for practical purposes. One way of constructing the portion of the data containing only primaries is by muting the actual data just above the first free‐surface multiple to arrive. The location of the mute is generally known as the bottom‐multiple‐generator (BMG) reflector; the portion of the data containing only primaries required for constructing the free‐surface multiples is located above the BMG. The outstanding question about this method is how effective can the technique be when the BMG cuts through several seismic events, as is the case in long‐offset data or in very complex shallow geology. We present new results which demonstrate the fact that the BMG location may cut through several seismic events without affecting the accuracy or the cost of demultiple.