Exploring Subsurface Data Availability on the Energy Data eXchange

The U.S. Department of Energy has been a major supporter of energy research, including long-term investments in the carbon capture and storage, natural gas, and hydrogen research. Since 2014, the carbon storage program has supported sharing, preserving and publishing of Program data products via the National Energy Technology Laboratorys virtual platform, the Energy Data eXchange (EDX). To date, there has been over 1.16TB of carbon storage data made publicly available on EDX, with new additions daily. In addition to carbon storage data, EDX hosts a variety of subsurface data from research areas in the onshore and offshore oil and gas, geothermal, hydrogen, rare earth elements, and carbon ore systems. Data consist of well logs, mud logs, bottom hole pressure measurements, injection measurements (CO2 injection) geophysical data, seismic data, subsurface models, core characterization, geospatial, documents, presentations, and reports. Available data from the different energy research areas has cross-disciplinary relevance, and has been applied to National Risk Assessment Partnership carbon storage risk analysis tools, utilized by different groups both internally and externally to support artificial intelligence and machine learning applications, and has been utilized by industry, regulators, and other stakeholders to support various site screening and monitoring efforts. In addition to serving as a data repository for storing and publishing data long-term, EDX hosts GeoCube, a geospatial data mapping platform for accessing, visualizing and interacting with data. GeoCube hosts a growing catalog of records containing millions of features and attributes, many of which are relevant to subsurface modeling. Geocube also incorporates virtualized tools for applying data for carbon storage capacity estimates, and links users to external carbon storage modeling tools. This presentation will summarize the subsurface data availability on EDX, present tools for interacting with the data, and present case studies of how data has been applied by the carbon storage subsurface modeling community.