Automatic Fault Extraction Using Artificial Ants
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A high-level fault interpretation workflow using automatically extracted surfaces is presented. The first step of the workflow is to generate a fault attribute that enhances the discontinuities in the seismic data. Fault-like surfaces are then extracted using an algorithm called ant tracking. The surfaces are then loaded into an analysis tool where the interpreter, by interactively working with the surfaces, decides on the final interpretation. The interpreter works on two levels in the analysis tool. Firstly, on the system level, where the fault surfaces are split into separate systems according to their strikes. Faults that are created at the same time period typically form a fault system. This separation is geologically meaningful and gives the interpreter an overview of the structural history of the area. Secondly, the interpreter groups and modifies individual surfaces within each fault system to form the final interpretation. The workflow is demonstrated as a case study of two fields offshore mid Norway.
KeywordsShort Path Seismic Data Fault System Swarm Intelligence Seismic Section
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