Fractures can enhance permeability in reservoirs and hence impact the productivity and recovery<br>efficiency in those areas. Fold and fault geometries, stratal architecture and large-scale depositional<br>elements (e.g. channels, incised valley-fill and turbidite fan complexes) are often difficult to see clearly<br>on vertical and horizontal slices through the seismic reflection data. Seismic attributes help us in<br>characterizing stratigraphic features that may comprise reservoirs, and form an integral part of most<br>interpretation projects completed today. Coherence, curvature and relative acoustic impedance are<br>some important seismic attributes that are used for such analysis. However, for extracting accurate<br>information from seismic attributes, the input seismic data needs to be conditioned optimally. This<br>includes noise removal, using robust dip-steering options and superior algorithms for computation of seismic attributes.<br>Curvature attributes in particular exhibit detailed patterns for fracture networks that can be correlated<br>with image log and production data to ascertain their authenticity. One way to do this correlation is to<br>manually pick the lineaments seen on the curvature displays for a localized area around the borehole,<br>and then transform these lineaments into rose diagrams to compare with similar rose diagrams<br>obtained from image logs. Favorable comparison of these rose diagrams lends confidence in the<br>interpretation of fractures. Another way is to generate automated 3D rose diagrams from seismic<br>attributes and correlate them with other lineaments seen on the coherence attribute.<br>3D volume rendering is one form of visualization that involves opacity control to view the features of<br>interest ‘inside’ the 3D volume. A judicious choice of opacity applied to edge-sensitive attribute subvolumes<br>such as curvature or coherence co-rendered with the seismic amplitude volume can both<br>accelerate and lend confidence to the interpretation of complex structure and stratigraphy. Volume<br>visualization of stratigraphic features is a great aid in 3D seismic interpretation and can be greatly<br>aided by adopting cross-plotting of seismic discontinuity attributes in the interpretation workflow as we<br>will demonstrate in this presentation.


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