The first generation coherence algorithm (briefly called C1 algorithm) is based on the statistical cross-correlation theory. C1 calculates the coherency of seismic data along both inline and crossline. This paper starts from texture technique, makes full use of seismic information in different directions and the difference of multitraces and proposes the texture coherence algorithm. The algorithm calculates seismic coherency both in inline and crossline directions and also in directions deviating from inline and crossline by and . Firstly, the paper clearly proposes a optimization method and criterion which structure gray level co-occurrence matrix parameters in seismic texture coherence algorithm. Furthermore, the matrix to measure the difference between multitraces is constructed by texture technique, resulting in horizontal constraints of texture coherence attribute. Compared with the first generation coherence algorithm, the seismic texture coherence attribute based on gray-level matrix is of the feature that is multi-direction information fusion and keeps the simplicity and high speed, even is of multitrace horizontal constraint, leading to the significantly improved resolution. The practical application of the method showed that the texture coherence attribute is superior to both the first coherence attribute and texture attribute in identifying faults and channels.


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