CCS and Power Systems
Carbon Storage - Monitoring, Verification, Accounting, and Assessment
Advanced Technologies for Monitoring CO2 Saturation and Pore Pressure in Geologic Formations: Linking the Chemical and Physical Effects to Elastic and Transport Properties
Performer: Stanford University
Project No: FE0001159
Program Background and Project Benefits
Through its core research and development program administered by the National Energy Technology Laboratory (NETL), the U.S. Department of Energy (DOE) emphasizes monitoring, verification, and accounting (MVA), as well as computer simulation and risk assessment, of possible carbon dioxide (CO2) leakage at CO2 geologic storage sites. MVA efforts focus on the development and deployment of technologies that can provide an accurate accounting of stored CO2, with a high level of confidence that the CO2 will remain stored underground permanently. Effective application of these MVA technologies will ensure the safety of geologic storage projects with respect to both human health and the environment, and can provide the basis for establishing carbon credit trading markets for geologically storing CO2. Computer simulation can be used to estimate CO2 plume and pressure movement within the storage formation as well as aid in determining safe operational parameters; results from computer simulations can be used to refine and update a given site’s MVA plan. Risk assessment research focuses on identifying and quantifying potential risks to humans and the environment associated with geologic storage of CO2, and helping to ensure that these risks remain low.
It will be necessary to improve existing monitoring technologies, develop novel systems, and protocols to satisfy regulations to track the fate of subsurface CO2 and quantify any emissions from reservoirs. The Carbon Storage Program is sponsoring the development of technologies and protocols by 2020 that are broadly applicable in different geologic storage classes and have sufficient accuracy to account for greater than 99 percent of all injected CO2. If necessary, the tools will support project developers to help quantify emissions from carbon capture, utilization, and storage (CCUS) projects in the unlikely event that CO2 migrates out of the injection zone. Finally, coupled with our increased understanding of these systems and reservoir models, MVA tools will help in the development of one of DOE’s goals to quantify storage capacity within ± 30 percent accuracy.
The proposed technology for the analysis of seismic data will provide the necessary advancement for tracking the location of injected CO2, ensuring that injection fields and abandoned wells are not leaking, and verifying the quantity of CO2 that has been injected underground. Results of this research will help to advance a scientific understanding of carbon storage options, increase storage efficiency, and to provide cost-effective, environmentally sound technology options that ultimately may lead to a reduction in CO2 emissions.
The primary objective of the DOE’s Carbon Storage Program is to develop technologies to safely and permanently store CO2 and reduce Greenhouse Gas (GHG) emissions without adversely affecting energy use or hindering economic growth. The Programmatic goals of Carbon Storage research are: (1) estimating CO2 storage capacity in geologic formations; (2) demonstrating that 99 percent of injected CO2 remains in the injection zone(s); (3) improving efficiency of storage operations; and (4) developing Best Practices Manuals (BPMs).
The primary goal of this research is to provide robust methodologies for quantitatively interpreting subsurface CO2 saturation and state from seismic data. These methodologies will allow quantitative mapping of the movement, presence, and permanence of CO2 relative to its intended storage location at injection sites to help meet the Carbon Storage Program’s goal of estimating storage capacity, improving storage efficiency, and demonstrating subsurface CO2 storage permanence. Specifically, the research aims to provide CO2-optimized rock-fluid models that incorporate the seismic signatures of (1) saturation scales and free vs. dissolved gas in a CO2-water mixing, (2) pore pressure changes, and (3) CO2-induced chemical changes to the host rock.