A fast coherence algorithm for seismic data interpretation based on information divergence

We propose a new fast coherence method of for robust and efficient estimation of 3-D seismic data in which the measure is characterized by greatly increasing the computation efficiency and stability via information divergence and called information divergence coherence algorithm (IDCA). The major goal of this method is solved existing problem which coherence calculations required for the building of large covariance metric and the computation of their dominant eigenvalue in the third generation coherence estimate based on an eigen-structure approach(C3). To avoid directly computing the eigenvalues of covariance matrix for greatly reducing the time cost of coherence calculation. In contrast to C3, the IDCA image possesses higher resolution and better anti-noise ability. The advantage of this new method is also demonstrated by real seismic data examples.