DEVELOPMENTS IN COVISUALIZATION: MULTIPLE VOLUMES, MULTIPLE ATTRIBUTES, AND REPRESENTATION OF UNCERTAINTY

The ability to view many types of data from geological, geophysical, petrophysical, engineering, and production sources has proved to be very effective in making better decisions more quickly when team representatives are gathered in the visualization environment. Improving the effectiveness of this visualization is a present challenge to software developers.

In this presentation we will demonstrate methods currently under development aimed at improving covisualization:

1)	Creation of a number of equivalent spatial volumes (wireframes) for concurrent display of different models and spatial elements.
2)	Improved handling of multiple attributes in one or several spatial volumes including compound selection and coloring determined by any number of attributes (properties).
3)	Management of the data and visualization context when many disparate data sets are displayed in multiple volumes, using multiple attributes. The goal is to avoid repetitive setup of each visualization context.
4)	Visualization of multiple, nominally equiprobable, models in a full covisualization context. Once you've paid the price of obtaining and filtering multiple realizations how do you effectively look at them?