  The coherence attribute is one of the most commonly used attributes in
seismic interpretation. In this paper, we propose building on the recently
introduced Generalized Tensor-based Coherence (GTC) attribute to make it
directionally selective. This directional selectivity is achieved by selecting
a directional Gaussian preprocessing kernel and applying a 3D rotational matrix
to its covariance matrix. By weighing traces, or voxels, in the analysis cube
by their relative proximity to the reference trace or voxel, this approach
greatly enhances the clarity of the attribute. Furthermore, by making these
weights directional, the proposed attribute gives interpreters greater freedom
in exploring and understanding the seismic data. Various results from the
Netherlands North Sea F3 block show that this approach greatly enhances the
clarity of the coherence attribute and can highlight structures that are not
visible using the traditional C3, or GTC coherence.
