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 …

Two examples from the SPE data repository will be used to illustrate a method for forecasting production in unconventional reservoirs using initial production data (first 1-2 months of production).     Analysis of accurately measured hourly initial production data indicates a flow regime sequence of sub-radial flow (slope <0.4), followed by a 1st boundary (slope …