Application of the Aquifer Impact Model to support decisions at a CO 2 sequestration site: Modeling and Analysis: Application of the Aquifer Impact Model to support decisions at a CO 2

Bacon, Diana Holford; Locke II, Randall A.; Keating, Elizabeth; Carroll, Susan; Iranmanesh, Abbas; Mansoor, Kayyum; Wimmer, Bracken; Zheng, Liange; Shao, Hongbo; Greenberg, Sallie E.

doi:10.1002/ghg.1730

Application of the Aquifer Impact Model to support decisions at a CO ₂ sequestration site: Modeling and Analysis: Application of the Aquifer Impact Model to support decisions at a CO ₂

Journal Article · Wed Oct 04 04:00:00 EDT 2017 · Greenhouse Gases: Science and Technology

DOI:https://doi.org/10.1002/ghg.1730· OSTI ID:1414519

^[1]; ^[2]; Keating, Elizabeth ^[3]; Carroll, Susan ^[4]; Iranmanesh, Abbas ^[2]; Mansoor, Kayyum ^[4]; Wimmer, Bracken ^[2]; ^[5]; Shao, Hongbo ^[2]; Greenberg, Sallie E. ^[2]

Pacific Northwest National Laboratory, Richland WA USA
University of Illinois, Illinois State Geological Survey Champaign IL USA
Los Alamos National Laboratory, Los Alamos NM USA
Lawrence Livermore National Laboratory, Livermore CA USA
Lawrence Berkeley National Laboratory, Berkeley CA USA

The National Risk Assessment Partnership (NRAP) has developed a suite of tools to assess and manage risk at CO2 sequestration sites (1). The NRAP tool suite includes the Aquifer Impact Model (AIM), based on reduced order models developed using site-specific data from two aquifers (alluvium and carbonate). The models accept aquifer parameters as a range of variable inputs so they may have more broad applicability. Guidelines have been developed for determining the aquifer types for which the ROMs should be applicable. This paper considers the applicability of the aquifer models in AIM to predicting the impact of CO2 or Brine leakage were it to occur at the Illinois Basin Decatur Project (IBDP). Based on the results of the sensitivity analysis, 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, such as sand fraction and sand/clay correlation lengths, could reduce uncertainty in risk estimates. Some non-adjustable parameters, such as the initial pH and TDS and the pH no-impact threshold, are significantly different for the ROM than for the observations at the IBDP site. The reduced order model could be made more useful to a wider range of sites if the initial conditions and no-impact threshold values were adjustable parameters.

Research Organization:: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); National Energy Technology Laboratory (NETL), Pittsburgh, PA, and Morgantown, WV (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA); USDOE Office of Fossil Energy (FE)

DOE Contract Number:: AC52-07NA27344; FC26-05NT42588; AC05-76RL01830; AC52-06NA25396

OSTI ID:: 1414519

Report Number(s):: LLNL-JRNL--738821; PNNL‐SA-‐124662; PNNL-17--60716; LA-UR--17-28174; AA7020000

Journal Information:: Greenhouse Gases: Science and Technology, Journal Name: Greenhouse Gases: Science and Technology Journal Issue: 6 Vol. 7; ISSN 2152-3878

Publisher:: Society of Chemical Industry, Wiley

Country of Publication:: United States

Language:: English

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Field‐scale well leakage risk assessment using reduced‐order models Zulqarnain, Muhammad; Zeidouni, Mehdi; Hughes, Richard G. Greenhouse Gases: Science and Technology, Vol. 9, Issue 3 https://doi.org/10.1002/ghg.1871	journal	May 2019

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CO2 and brine leakage
aquifer
carbon sequestration
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