Seismic singularity attribute and its applications in sub-seismic faults detection

Abstract

The sub-seismic faults are below the limit of seismic resolution, and present in 3D seismic data. In general, the sub-seismic faults are providing cross-stratigraphic pathways for fluid expulsion in the tight reservoir. A workflow to analyze sub-seismic faults prediction over different scales is described in this paper. This requires very detailed fault detection in order to bridge the information gap between seismic data and sub-seismic faults. Based on the seismic signal singular value analysis, we made predictions about the sub-seismic faults. We interpreted fault in seismic, and seismic attributes volumes at scales above dozens meters. The seismic signal singular value was performed on a detailed interpreted 3D volume to predict the sub-seismic fault, at a scale below seismic resolution. The modeling results show that considerable seismic signal singular value is observed less than 20 m from the seismic volume. We linked the real data volume from the modeled parameters, and used the singular value as a proxy for sub-seismic faults. With this method we can predict the sub-seismic faults combined with structure in areas. Furthermore, knowing other geological data we can predict the possible leakage and overflow when drilling horizontal well and reduce drilling risk.