STA Tool – a virtual research assistant designed to: • Organize and visualize disparate big data and knowledge resources • Simplify geologic domain formation • Provide and execute multi-dimensional statistical analyses and validation • Utilize ML to characterize property trends and predictions

The Subsurface Trend Analysis (STA) Tool utilizes the STA method as a framework for integrating machine learning and artificial intelligence to accelerate subsurface analyses. The Subsurface Trend Analysis method (Rose et al., 2020) is a validated methodology that improves prediction of subsurface properties, even in areas with little to no data. This download includes the 2D version of the STA Tool. A 3D version is forthcoming.

This work was conducted under the Advanced Offshore Research Portfolio, FWP Number 1022409 at National Energy Technology Laboratory, U.S. Dept. of Energy.

For more information: https://edx.netl.doe.gov/offshore/portfolio-items/geohazards-subsurface-uncertainty-modeling/

Rose, K., Bauer, J.R., and Mark-Moser, M., “A Systematic, Science-Driven Approach for Predicting Subsurface Properties,” Interpretation, 8:1 (2020), 167–181, https://doi.org/10.1190/INT-2019-0019.1.