EGS Site Selection Using GIS and Machine Learning

Placement: First Place Winner

Team Name: BALO Data Science Team

Team Members: Sierra Sellman and Michelle Rodrigue

School/Organization: DePaul University/Georgia Institute of Technology

The first place team, BALO Data Science Team, was a collaboration between DePaul University and Georgia Institute of technology and included team members: Sierra Sellman and Michelle Rodrigue.

The winning team, comprised of data science students with backgrounds in geographic information systems, submitted data visualizations targeting an audience unfamiliar with enhanced geothermal systems (EGS) and machine learning. Figure 5 is a screenshot from the team’s submission. Their final portfolio suitability map and proposed well location was based upon robust analyses using Python and ESRI’s ArcMap, ArcScene and strong understanding of the FORGE data.

The BALO Data Science team submission can be found at the following link:
ArcGIS