Interpretation Of Very Large Datasets In A High-Performance Visualization Enviroment

The necessity to interpret massive 3D datasets has created a need for new innovative ways to visualize, and interpret<br>these volumes. Time constraints placed upon explorationists to evaluate large exploration blocks on a very tight time<br>schedule has also required a paradigm shift in the way datasets are evaluated. The need to shorten cycle time between<br>seismic data acquisition and well location determination requires a facility and environment in which multi-disciplinary<br>teams can integrate various data types into a unified interpretation. New interpretation techniques combined with careful<br>calibration of rock properties with seismic also are enabling interpreters to extract more information than ever before from<br>3D datasets. To implement these new interpretation techniques however, careful consideration should be made on<br>facilities design as well as computer architecture. This paper will present a collaborative interpretation and visualization<br>environment and discuss ways in which super-large 3D datasets are being rapidly interpreted in that environment.