Recognition of Minor Faults in Carbonate Rock Reservoirs

摘要

Minor faults have great influence on the production of carbonate rock reservoirs. Recognizing these small scale faults is a big challenge with conventional seismic data. The spectrum decomposition method with the optimal fractional Gabor transform is produced by replacing the traditional Gabor transform kernel function with the fractional kernel function based on the fractional Fourier transform, and getting the optimal fractional order with the evaluation of the time bandwidth production parameter. High resolution anomaly detection algorithms such as the improved C3 coherence method are adopted to get the attribute cubes. A detailed comparison between the stratigraphic slices and time slices to the coherence cubes of high frequency decomposed subseismic data and the original seismic data shows that the stratigraphic slice to the coherence cube of high frequency decomposed subseismic data is the easiest and most visualized tool for minor faults recognition in map views. The decomposed high frequency subseismic data with the optimal fractional Gabor transform is much easier for minor faults interpretation than using the original seismic data.