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Sub-seismic Fault Detection Using Horizon-based Seismic Attributes
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 76th EAGE Conference and Exhibition 2014, Jun 2014, Volume 2014, p.1 - 5
Abstract
Seismic attributes have played an integral part in improving the quality and efficiency of fault detection in 3D seismic interpretations worldwide. If well understood and computed, these tools can significantly improve the conventional interpretation processes such as automatic horizon tracking and manual picking. The biggest challenge in the application of seismic attributes is their sensitivity to noise (both coherent and incoherent). In this study, a new fault-detection approach that enhances seismic interpretation is introduced. This can be categorized into three main steps: (1) Data conditioning through smoothing operators such as median, mean, or a combination of the two, and the bi-harmonic filtering operator, (2) Computation of horizon-seismic attributes such as amplitude, dip-magnitude, dip-azimuth and edge detection, and (3) Re-picking of the seismic horizons and faults using complex trace attribute displays.