Abstract

Data Driven Spatial Methods for Subsurface & Infrastructure Resources
Track: Petroleum
Authors: Kelly Rose, Lucy Romeo, MacKenzie Mark-Moser, Roy Miller, Vic Baker, Devin Justman, Jen Bauer

As access to open, authoritative data increases science driven analyses face challenges efficiently finding, integrating and effectively utilizing these resources. We present novel geo-data science methods for small and big data-based evaluations of energy systems. These methods will be applied to the spatio-temporal analysis of subsurface and water resources, forecasting induced seismicity and energy infrastructure risks, and offshore oil spill prevention & response.