Fault imaging in sparsely sampled 3D seismic data using common‐reflection‐surface processing and attribute analysis – a study in the Upper Rhine Graben |
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| Authors: | Hermann A Buness Hartwig von Hartmann Hanna‐Maria Rumpel Charlotte M Krawczyk Rüdiger Schulz |
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| Institution: | 1. Leibniz Institute for Applied Geophysics (LIAG), , Hannover, Germany;2. now at RWE Dea AG, , Hamburg, Germany |
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| Abstract: | Cost reduction in seismic reconnaissance is an issue in geothermal exploration and can principally be achieved by sparse acquisition. To address the adherent decrease in signal/noise ratio, the common‐reflection‐surface method has been proposed. We reduced the data density of an existing 3D dataset and evaluated the results of common‐reflection‐surface processing using seismic attributes. The application of the common‐reflection‐surface method leads in all cases to an improvement of the signal/noise ratio. The most distinct improvement can be seen in the low fold regions. The improvement depends strongly on the midpoint aperture, and there is a tradeoff between reflector continuity and horizontal resolution. If small scale targets are to be imaged, a small aperture size is necessary, which may be far below the Fresnel zone for a specific reflector. The substantial reduction of the data density leads in our case to an irrecoverable information loss. |
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| Keywords: | CRS Fault imaging Upper Rhine Graben |
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