Applying the phase congruency algorithm to seismic data slices: a carbonate case study

Abstract

Brian Russell, Dan Hampson and John Loge show how discontinuities on seismic data slices can be identified using a phase congruency approach, an application more commonly associated with identification of features on photographic images and image processing for robot vision. The discussion concludes with two seismic examples − a karst collapse study from the Boonsville field in Texas and a fractured carbonate reservoir from Alberta – where the algorithm is applied to compare the phase congruency results with other seismic techniques such as coherency and curvature.