Seismic interpretation has been traditionally based on reflections or amplitudes. However, amplitude alone can also disguise the true nature of subsurface geology and blur stratigraphic boundaries. In many cases important information is carried by singularities that are not necessarily associated to certain amplitude patterns. We present Hölder exponent (α) as a new seismic attribute which capt...

Various approached have been introduced to extract as much as information form seismic image for any specific reservoir or geological study. Modeling of faults and fractures are among the most attracted objects for interpretation in geological study on seismic images that several strategies have been presented for this specific purpose. In this study, we have presented a modified approach of ap...

We present multi attribute texture transfer functions for the generation of seismic illustrations. We render seismic data in the style of geological textbook illustrations by combining illustratively rendered axis aligned slices with volume rendering. We have extended the transfer function concept to map volume attributes to 2D textures that flow according to a deformation volume describing the...

Analysis and understanding of seismic anisotropy has proven to be a valuable tool in many exploration and reservoir management studies. Seismic anisotropy should not be viewed as a problem that must be dealt with but instead regarded as an additional attribute to understand the rocks within the reservoir and overburden. Recent developments in borehole and seismic methods coupled with the latest...

The coherence attribute is one of the most commonly used attributes in seismic interpretation. In this paper, we propose building on the recently introduced Generalized Tensor-based Coherence (GTC) attribute to make it directionally selective. This directional selectivity is achieved by selecting a directional Gaussian preprocessing kernel and applying a 3D rotational matrix to its covariance m...

Flow unit characterization plays an important role in heterogeneity analysis and reservoir simulation studies. Usually, a correct description of the lateral variations of reservoir is associated with uncertainties. From this point of view, the well data alone does not cover reservoir properties. Because of large well distances, it is difficult to build the model of a heterogenic reservoir, but ...

Porosity is one of the key parameters associated with oil reservoirs. Determination of this petrophysical parameter is an essential step in reservoir characterization. Among different linear and nonlinear prediction tools such as multi-regression and polynomial curve fitting, artificial neural network has gained the attention of researchers over the past years. In the present study, two-dimensi...

The variation of frequency content with time is an important seismo-stratigraphic indicator. This paper discusses the analysis of local frequency content of seismic reeection data with quadratic joint time-frequency representations. Signal adaptive quadratic time-frequency representations have considerably better time-frequency localization properties (resolution) than more standard approaches ...