An analytical-based Enhanced Analytical Simulation Tool (EASiTool) will be developed for technical and non-technical users with minimum engineering knowledge. The purpose of EASiTool is to produce a fast, reliable estimate of storage capacity for any geological formation. EASiTool will include closed-form analytical solutions that can be used as a first step for screening of geological formations to determine which formation can best accommodate storage needs over given period of time.
EASiTool will be developed with a highly user-friendly interface, however the analytical models behind the EASiTool will be cutting-edge models that incorporate effects of rock geomechanics, evaporation of brine near the wellbore, as well as deployment of brine extraction in the field to enhance the storage capacity. A net present value (NPV) based analysis will be implemented to devise the best field development strategy to maximize the stakeholder’s profit by optimizing the number of injection/extraction wells.
This highly user-friendly tool will provide a unique strategy for CO2 injection combined with brine extraction to optimize any CO2 project by maximizing the project’s NPV. Benefits of this project include:
- application of the advanced closed-form analytical solutions to estimate CO2 injectivity into geological formations,
- estimation of the number of injection/extraction wells necessary to reach the storage goal, and
- improving current static storage efficiency coefficients by instead using dynamic closed-form analytical solutions.
C12 Energy (a leading commercial developer of CO2 storage sites in the U.S.A.) will beta-test EASiTool. In addition, uncertainty quantification (UQ) of the results based on Monte Carlo method will be provided to address the uncertainties associated with input model parameters.
The EASiTool developed in this project contributes directly to DOE research needs. At three stages of the development, EASiTool will be released to the possible end users (regulators, private and public companies, coal-fired power plants, etc) at this website.
The project is funded by DOE (DE-FE0009301).
This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.