Dynamic Datasets Using Forward Modeling to Reduce Uncertainty and Improve Recovery
Geoscience instructors create training material from a variety of sources. Interpretation projects are frequently derived from real field data and pressed into service for a variety of classes.
Unfortunately, real field data may not align with the specific teaching objectives for students at a particular level; it may be too complex, too large, or lack critical data elements. It is very rare that a single dataset would contain all of the elements for training classes that span a full spectrum of subsurface disciplines.
AAPG Datapages/Search and Discovery Article #90219 © 2015 GCAGS, Houston, Texas, September 20-22, 2015