![]() ![]() Coherence and curvature attributes for fracture detection Surface seismic data has long been used for detecting faults and large fractures, but recent developments in seismic attribute analysis have shown promise in identifying groups of closely spaced fractures or interconnected fracture networks. Consequently, the detection and characterization of fractures is of great interest which is driving significant improvements in azimuthal AVO, image-log breakout interpretation, and seismic attribute analysis. Alternatively, fractures provide high permeability pathways that can be exploited to extract reserves stored in otherwise low permeability matrix rock. The presence of naturally occurring fracture networks can lead to unpredictable heterogeneity within many reservoirs. IntroductionĬharacterization of fractures is essentially the understanding of fracture patterns, so that appropriate ways can be devised for effectively draining out fractured reservoirs. Finally, volume visualization of stratigraphic features is a great aid in 3D seismic interpretation and can be greatly aided by adopting cross-plotting of seismic discontinuity attributes in the interpretation workflow. Another way is to generate automated 3D rose diagrams from seismic attributes and correlate them with other lineaments seen on the coherence attribute for example. Favourable comparison of these rose diagrams lends confidence in the interpretation of fractures. One way to do this correlation is to manually pick the lineaments seen on the curvature displays for a localized area around the borehole, and then transform these lineaments into rose diagrams to compare with similar rose diagrams obtained from image logs. ![]() This includes noise removal, using robust dip-steering options and superior algorithms for computation of seismic attributes.Ĭurvature attributes in particular exhibit detailed patterns for fracture networks that can be correlated with image logs and production data to ascertain their authenticity. However, for extracting accurate information from seismic attributes, the input seismic data needs to be conditioned optimally. Coherence and curvature are two important seismic attributes that are used for such analysis. Seismic discontinuity attributes help us in characterizing stratigraphic features that may comprise reservoirs and form integral part of most interpretation projects completed today. channels, incised valley-fill and turbidite fan complexes) are often difficult to see clearly on vertical and horizontal slices through seismic reflection data. ![]() Fold and fault geometries, stratal architecture and large-scale depositional elements (e.g. Fractures can enhance permeability in reservoirs and hence impact the productivity and recovery efficiency from them. ![]()
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