Geothermal energy is poised to be a key contributor in the shift to a sustainable energy future. Oil and Gas industry has the skillset and expertise to convert this geothermal dream to a reality. However, this transformation can be significantly expedited using modern data science and machine learning methods. In pursuit of this goal, SPE …

This challenge aims to use time series injection information and monitoring data on a carbon capture well to predict carbon capture well injection rates deltas. Correlating the change in injection rate to the behavior of other parameters in the well can be used to provide a checkpoint against carbon migration from the well or other …

Data Science Convention is the annual flagship event of the SPE-GCS Data Analytics Study Group.  Our goal is to achieve SPE’s core values in supporting talented industry professionals, YPs, and students interested in advancing their skill set in the energy and technology industry. Event includes:   Keynote speakers from leading energy and technology sectors Technical …