A new seismic coherence cube algorithm: Seismic texture coherence algorithm

Abstract

A new method is presented to extract seismic attribute, and we name it seismic texture coherence algorithm. In practical applications, this method can be used to identify faults and channels. Traditional C1 algorithm, or cross-correlation based coherency algorithm, calculates the coherency in inline and crossline directions, which is based on statistical cross-correlation theory. The new algorithm is a combination of texture technique and coherence algorithm, which calculates seismic coherence response characteristics both in inline and crossline directions and in directions deviating from inline and crossline by 45° and 135°, such that the coherence information in four directions is fully used. Furthermore, the texture coherence technique extends the coherence of two or three traces calculated by C1 algorithm to the coherence of multi-trace and the final seismic texture coherence attribute is the overall coherence attribute calculated by weightedly summing up the energy ratio in those four directions. Next, a practical application example is tested, whose effects prove that this method is of high resolution. Certainly, there is still some work to improve the method, but it is of practical value as a new seismic coherence algorithm.