In an effort to increase SEP’s ability to work with 3-D prestack data sets we have continued the development of our integrated 3-D seismic visualizer using Advanced Visual Systems (AVS) as our integrating platform. To the capacity of displaying SEP data sets, we have added the ability to simultaneously display non-seismic 3-D geophysical and geological data. The main thrust of our work has been...

In this work, an analysis method is developed for the robust and efficient estimation of 3-D seismic local structural entropy, which is a measure of local discontinuity. This method avoids the computation of large covariance matrices and eigenvalues, associated with the eigenstructure-based and semblance-based coherency estimates. We introduce a number of local discontinuity measures, based on ...

Median tilters operate by selecting the middle valve of an ascending-ordered scqucncc of numbers. These numbers are taken from a moving window on the data to be processed. The operation can be used in seismic data processing to reject glitches on data as well as enhance disconbnuiries in the dara. This paper reviews the definibons and some of the properties of median filters. The median filter ...

The improved quality and dense sampling of 3-D seismic data has greatly increased the e ectiveness of attribute analysis for seismic interpretation. The availability of seismic attribute images and cubes can greatly facilitate the interpretation of large and complex data volumes. Many seismic attributes that are currently in use are based on parameters that bring forward changes of signal chara...

Combining image processing and optimization techniques, we automatically align a lattice of points (atoms) with horizons and faults in a 3-D seismic image. Connecting these points yields an unstructured space-filling polyhedral (atomic) mesh. This single data structure can integrate multiple tasks, such as seismic interpretation, reservoir characterization, and flow simulation, thereby reducing...

Coherency cube” and fault detection technologies have evolved rapidly in recent years as important tools for seismic interpretation. The following paper, developed as a joint project between investigators at Memorial University and the University of Calgary, compares several of the fault detection methods for data from Hibernia field. The results, which are outlined in detail in the Memorial Un...

Structural information is the most important content of seismic images. I introduce a numerical algorithm for spreading information in 3-D volumes according to the local structure of seismic events. The algorithm consists of two steps. First, local spatially-variable inline and crossline slopes of seismic events are estimated by the plane-wave-destruction method. Next, a seed trace is inserted ...

In seismic data processing, we often need to interpolate and extrapolate missing data at spatial locations. The reconstruction problem can be posed as an inverse problem where from inadequate and incomplete data we attempt to reconstruct the seismic wavefield at locations where measurements were not acquired. This thesis presents a wavefield reconstruction scheme called minimum weighted norm in...

Manual stratigraphic interpretation of modern 3-D seismic images is a tedious and timeconsuming process. We present a method based on nonstationary predictive signal/noise separation for automatically recognizing the occurence of an arbitrary, predefined pattern, or facies template, in seismic images. Similarity of local data windows to the facies template is measured by an attribute which has ...