Application of Edge Detection Techniques to Model and 3D Field Data

Abstract

In this study, we present the results of the application of amplitude-derived semblance and cepstral decomposition to model and 3D field data from the Niger Delta. The cepstrum is the Fourier transform of the natural logarithm of the Fourier transform of the data and transforms the data from the frequency to quefrency domain, while the semblance measures localized trace similarity. Cepstral domain analysis separates source and transmission path effects and provides new improved information on the seal risk of hydrocarbon prospect by revealing the presence of multiple sub-parallel faults capable of increasing the probability of up-dip lateral seal for hydrocarbon traps. This is to guide prospect evaluation in fault –trapped prospect.