Combining Machine Learning and Remote Sensing as a Reconnaissance Technique to Identify Tectonically Stable Areas for Carbon Dioxide Injection on the Crest of the Cincinnati Arch.

Many ethanol plants are struggling with complex subsurface conditions when evaluating sites for the injection of carbon dioxide. Abundant faults and fractures make many areas unsuitable for injection. This talk describes how a simple bagging algorithm can be used to predict the occurrence of these faults and fractures, giving the CCUS industry a new tool in the evaluation of potential targets.