Paradigm, a leading provider of enterprise software solutions to the global oil and natural gas exploration and production (E&P) industry, announced the release of Paradigm SKUA™ 2009, its 3D modeling software environment that bridges the gap between seismic and simulation by removing current modeling limitations. The SKUA 2009 workflow expands SKUA capabilities into the interpretation field by linking the interpreter and modeler roles.
SKUA 2009 introduces Interpretation Modeling (previewed as Prospect Architecture), a new software solution containing the first truly integrated workflows between seismic and geologic interpretation and modeling. Prospect Architecture, introduced in November 2008, was enhanced with new functionality and renamed as Interpretation Modeling. The new package is designed to help interpreters, modelers, and reservoir teams merge seismic interpretation and SKUA UVT-based modeling to enable better interpretation. The 2009 release also introduces Stratigraphic Interpretation Modeling, based on SKUA technology, which provides unique tools to concurrently perform stratigraphic interpretation, geochronological modeling and to perform 3D seismic paleo-restoration to restore depositional continuity.
"SKUA users will continue to enjoy Paradigm-standard Windows 64 and Linux 64 compatibility, now with multi-core modeling capabilities, effectively reducing computation time by a factor of eight," said Jean-Claude Dulac, Paradigm executive vice president of science and technology.
"By providing the environment in which interpreters and modelers can work concurrently, SKUA enables faster workflow testing and scenario evaluations so users can generate more accurate models in substantially less time."
The package also includes SKUA 2009 Engineering Modeling that provides unbiased flow simulation grids in any structural or stratigraphic settings. The Engineering Modeling solution is a collaborative environment, which enables geoscientists and reservoir engineers to efficiently develop geologically coherent production forecasts and better control development risks.