Optimized reservoir targets are quickly created, well-defined, and accurate using the software's (1) volume co-rendering technology, which improves fault and stratigraphic imaging; (2) powerful volume visualization techniques, which enhance visual pattern recognition; and (3) interactive auto-trackers, which enable precise interpretation.
Scalable to Any Dataset Size
GeoProbe software technology is designed to support efficient workflows on "real world" data volumes. Geoscientists have interactively viewed and interpreted 3D volumes covering areas as large as 45,000 square kilometers. This capability enables interpreters to work at the prospect level in context with the regional framework, as well as have the flexibility to scale the computing environment from large-server based graphics systems to PC workstations.
Advanced Deepwater Workflows Lower Risk for Salt, Subsalt, Presalt Geology
GeoProbe software features GeoShell technologies, which provide geoscientists the ability to quickly interpret salt body geometries and boundaries with unprecedented flexibility and accuracy. The ability to leverage all relevant information into a dynamically updateable multi-Z subsurface model helps ensure that in areas of complex structure, delineation of reservoir makeup can be mapped with better precision.
GeoProbe® Software Native Integration With Landmark DecisionSpace® Geosciences Suite
In addition to superior volume interpretation capacity, GeoProbe software enjoys tight integration with DecisionSpace Geoscience suite. From iterative salt imaging and velocity modeling workflows to advanced multi-well planning, both GeoProbe data and interpretations can easily be accessed from DecisionSpace Geoscience 10ep suite to enhance interpretation workflows.
Interpretation at the Speed of Thought
GeoProbe software offers parallel processing algorithms that deliver high performance on compute-intensive tasks. The dynamic 3D volume visualization environment allows geoscientists to see their data in a multitude of perspectives with advanced attributes, which results in faster interpretation cycle time compared to traditional "line-by-line" interpretation methodologies.