The development of fault identification is an important issue in 3D seismic interpretation during oilfield exploration and development. Conventional fault identification methods include coherence, variance, edge detection and so on, which mainly rely on isochronous slices. While the subliminal interior is buried deeply, formation is high and steep, fracture is complex, seismic data is low signal-to-noise ratio. It is difficult to obtain reliable fault identification results using conventional methods. A new method of fault identification based on stratigraphic inclination coherence analysis is proposed in this study. Firstly, using the stratigraphic inclination and azimuth information, we can constrain the 3D seismic body calculation to obtain the dominant coherent body. Secondly, the coherent slice based on the formation inclination is established to highlight all scales of faults. The advantage of this method is to deepen the coherent analysis, overcome the limitations of the original coherent calculation. Finally, in the actual high steep formation complex area, the fault are displayed clearly in the stratigraphic slice. The application results show that the method can effectively identify different scales of faults in the high steep complex area. The fault identification accuracy is significantly higher than that of conventional coherent methods. The method proposed has some industrial application value.
Note: This paper was accepted into the Technical Program but was not presented at the 2020 SEG Annual Meeting.