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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.
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.
Seismic singularity attribute and its applications in sub-seismic faults detection
Xu, Huiqun (author) / Sun, Sam Zandong (author)
2014
Article (Journal)
English
Seismic singularity attribute and its applications in sub-seismic faults detection
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