Using improved technology for widespread application of a geological carbon sequestration study

The Kansas Geological Survey is part of an ongoing collaboration between DOE-NETL, academia, and the petroleum industry to investigate the feasibility of carbon utilization and storage in Kansas. Latest findings in the 25,000 mi2 study area in southern Kansas estimate CO2 storage capacity ranges from 8.8 to 75.5 billion metric tons in a deep Lower Orodovican-age Arbuckle saline aquifer. In addition, an estimated 100 million tonnes of CO2 could be used for extracting additional oil from Kansas' fields, making transitions to carbon management economic. This partnership has a rare opportunity to synchronize abundant, yet previously disseminated knowledge into a cohesive scientific process to optimize sequestration site selection and implementation strategies. Following a thorough characterization, a small-scale CO2 injection of 70,000 tonnes will be implemented in Wellington Field in Sumner County, including a five-plot miscible CO2-EOR flood of a Mississippian reservoir followed by the underlying Arbuckle saline aquifer. Best practices and lessons learned from the field study will improve estimates on CO2 storage capacity, plume migration models, and identify potential leakage pathways to pursue safe and effective geological carbon sequestration at commercial scales. A highly accessible and multifunctional online database is being developed throughout the study that integrates all acquired geological, physical, chemical, and hydrogeologic knowledge. This public database incorporates tens of thousands of data points into easily viewable formats for user downloads. An Interactive Project Map Viewer is a key mechanism to present the scientific research, and will delineate compartment candidates and reservoirs matching reference criteria or user defined attributes. This tool uses a familiar pan and zoom interface to filter regional project data or scale down to detailed digitized information from over 3,300 carefully selected preexisting Kansas wells. A Java-based log analysis program can combine public LAS data with privately owned digital petrophysical information to create refined cross sections with details on lithology and geochemistry. The interactive mapper displays geophysical surveys such as depth and time converted 3D seismic, gravity, magnetic, remote sensing, simulations, regional geologic base layers, and launches web-based well profile tools. Geocelluar models that demonstrate porosity, fault boundaries, seal continuity, and other hydrostratigraphic parameters will illustrate the presence of aquifers and caprocks. Dynamic models will use this input to simulate in situ CO2 plume migration and entrapment mechanisms over time. Additional outreach activities such as core workshops that showcase geological samples, conference presentations to describe technology experiences, and publishing peer-review journal articles will ensure the scientific research is delivered to the general public and useful in academia. Next steps will seek to enhance the current 3D depiction of the subsurface, leading to a direct visual connection between conceptual models and their supporting scientific evidence. Together, these tools aim to unite various industries to perform streamlined data analysis leading to a greater understanding of future geological carbon utilization and storage.