Application of Spectral Decomposition and Ant Tracking to Fractured Carbonate Reservoirs

Abstract

This paper uses the integrated application of ant tracking and spectral decomposition to detect minor faults and fractures based on the VSP-driven processing seismic data in fractured carbonate reservoirs. A new method is developed to improve imaging of faults and fractures using “discrete frequency ant tracking data”. Discrete frequency ant tracking data is computed using discrete frequency phase data obtained from spectral decomposition. Discrete frequency ant tracking data is more effective at detecting faults and fractures than full spectrum data. The different discrete frequency ant tracking attribute maps show that the high-frequency ant tracking data is more effective at detecting faults and fractures. When compared with the full spectrum data, the reconstructed ant tracking data produces more detailed images of faults and fractures. The results of our case study shows, this has the potential to be a highly effective and very valuable seismic method.