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The computation cost of applying the 3-D AMO or
DMO operators is an order magnitude higher than that for 2-D ones. However,
the computational cost is also directly
dependent on the size of the operator. Therefore, for a simple Kirchhoff-type
implementation (),
the cost of the 3-D AMO operator is proportional to the product of the
inline and crossline grid points needed to
represent the operator.
Luckly, AMO operators are generally small in size, and as a result, the number of
grid points in which the operator covers are relatively few. In the application of 3-D
operators, the reduction in the size of the operator is far more important than in 2-D media.
Next: Conclusions
Up: Rickett, et al.: STANFORD
Previous: The residual AMO operator
Stanford Exploration Project
7/5/1998