The Science-informed Machine Learning for Accelerating Real-Time Decisions in Subsurface Applications (SMART) Initiative is a ten-year, multi-organizational effort with the goal of transforming interactions within the subsurface and significantly improving efficiency and effectiveness of field-scale carbon storage and unconventional oil and gas operations.

The three goals of this initiative are to employ creative approaches to enable:

Real-Time Visualization of key subsurface features and flows

Virtual Learning for rapid prediction of reservoir behavior

Real-Time Forecasting of actively managed carbon storage systems