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Automatic fault detection and extraction is still considered to be a major challenge in the industry. Faults are usually detected with the use of edge detection attributes like variance, coherence, chaos, and semblance. This abstract presents the results of a modification of a classical edge detector, namely Sobel. The detector is modified with weighting, normalization and dip guiding to achieve the presented results.The data set used for testing is Solsikke, which is located off the Norwegian coast. To validate the results, ant tracking is used on the attribute results to extract detected faults. The results are also volume rendered to show some fault patches in the selected sub-volume. As a reference attribute for comparison, we are using variance. The comparison results are consistently in favor of the modified Sobel.

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Seismic attributes are one quantitative measure inherent in the phase, frequency and amplitude content of reflection and refraction data. Detection of structural and stratigraphic information based on seismic attributes is one of the fundamental workflows when it comes to interpreting subsurface features and seeking reservoir engineering information from seismic data. Not only do we need to identify the correct location of structures and edges like faults, it is of critical importance to understand throw profile behavior along faults and the true location of fault tips for volumetric and spill point analysis. Proper attribute analysis gives an interpreter a tool to help characterize the static and dynamic subsurface characteristics such as lithology terminations, possible juxtapositioning of lithologies and cross fault sealing capabilities to fluid flow.As we move into more complex environments, attributes based on structurally oriented filtering have been used to improve S/N ratios while preserving the discontinuities found in the data thereby enhancing stratigraphic boundaries and lithology terminations. We present an Euler-based method for directional filtering and apply this method to different structurally complex environments. We obtain improved S/N ratios and a more consistent and continuous edge mapping in comparison to conventional isotropic methods. Results for delineating salt in the Gulf of Mexico (GOM) and detecting fault extents offshore Norway indicate that methods based on structurally oriented filtering can provide increased clarity in the identification and evaluation of subsurface features.

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