Previous: SUMMARY
Up: Multi-component Source Equalization
Next: The optimization problem
Previous Page: SUMMARY
Next Page: Symmetric data acquisition
I employ the basic notion of symmetry in a wave field or, to be more precise, the lack thereof. To expand that idea, let us look at a single slice through a prestack data volume. Let us write the data as
where describes the source behavior,
describes the receiver behavior,
and
governs pure propagation effects through the medium.
is an additive noise term.
denote convolutional relations.
In an ideal world
would be zero and
represents the Green's function of the
medium. It can be shown that
since the anisotropic elastic wave equation is linear and self-adjoint,
the discrete representation
of the continuous function
has to be symmetric, if source and
receiver axes are discretized in the same manner. Consequently D will
then also be symmetric.
That is,
This equation defines a measure for the symmetry of a given data set. The symmetric part of data is defined as
and the antisymmetric part of the data as