Application of the Aquifer Impact Model to support decisions at a CO2 sequestration site
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Univ. of Illinois, Urbana-Champaign, IL (United States). Illinois State Geological Survey (ISGS)
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- University of Illinois, Illinois State Geological Survey Champaign IL USA
© 2017 Society of Chemical Industry and John Wiley & Sons, Ltd. The National Risk Assessment Partnership (NRAP) has developed a suite of tools to assess and manage risk at CO2 sequestration sites. The NRAP tool suite includes the Aquifer Impact Model (AIM), which evaluates the potential for groundwater impacts from leaks of CO2 and brine through abandoned wellbores. There are two aquifer reduced-order models (ROMs) included with the AIM tool, a confined alluvium aquifer, and an unconfined carbonate aquifer. The models accept aquifer parameters as a range of variable inputs so they may have broad applicability. The generic aquifer models may be used at the early stages of site selection, when site-specific data is not available. Guidelines have been developed for determining when the generic ROMs might be applicable to a new site. This paper considers the application of the AIM to predicting the impact of CO2 or brine leakage were it to occur at the Illinois Basin Decatur Project (IBDP). Results of the model sensitivity analysis can help guide characterization efforts; the hydraulic parameters and leakage source term magnitude are more sensitive than clay fraction or cation exchange capacity. Sand permeability was the only hydraulic parameter measured at the IBDP site. More information on the other hydraulic parameters could reduce uncertainty in risk estimates. Some non-adjustable parameters are significantly different for the ROM than for the observations at the IBDP site. The generic ROMs could be made more useful to a wider range of sites if the initial conditions and no-impact threshold values were adjustable parameters. © 2017 Society of Chemical Industry and John Wiley & Sons, Ltd.
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA); USDOE Office of Fossil Energy (FE); USDOE Office of Science (SC)
- Grant/Contract Number:
- AC52-07NA27344; FC26‐05NT42588; AC05-76RL01830; AC52-06NA25396; AC02-05CH11231
- OSTI ID:
- 1458630
- Alternate ID(s):
- OSTI ID: 1396417; OSTI ID: 1461397; OSTI ID: 1563942
- Report Number(s):
- LLNL-JRNL-738821; PNNL‐SA-‐124662; PNNL-17-60716; LA-UR-17-28174; 890919
- Journal Information:
- Greenhouse Gases: Science and Technology, Vol. 7, Issue 6; ISSN 2152-3878
- Publisher:
- Society of Chemical Industry, WileyCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Web of Science
Field‐scale well leakage risk assessment using reduced‐order models
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journal | May 2019 |
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